# Sushant Sachdeva

![Sushant Sachdeva](/resources/cognition/portraits/sushant-sachdeva.webp)

Member of Technical Staff at Cognition; Associate Professor of CS at UToronto; algorithms, optimization and RL for LLMs  
Cognition  
Mountain View, California, United States

## At Cognition

- Role: Member of Technical Staff (Engineering)
- Joined: Sep 2026
- How they joined: Directly
- Before Cognition: Faculty Member, Vector Institute
- Overlapped before Cognition with other Cognition people at: Google (https://www.autumn.ai/resources/cognition/worked-together)

## Identity
- LinkedIn: https://www.linkedin.com/in/sachdevasushant
- X: @sushnt
- GitHub: https://github.com/sachdevasushant
- Website: https://sachdevasushant.github.io/

## Notes
- On 2025-11-21 he announced on X, verbatim: "I believe we're at the doorstep of a revolution in how we'll do theoretical research and this is just the beginning! A good time to announce that I've taken leave from UofT to be a part of the revolution on the inside at @OpenAI! :)"; OpenAI researchers DJ Strouse, Jason Lee and Dan Roberts replied with welcomes. (https://x.com/sushnt/status/1991664996305273096)
- Sushant Sachdeva announced that he has taken leave from UofT to join OpenAI. (https://x.com/sushnt/status/1991664996305273096)
- Sushant Sachdeva has been a Member of Technical Staff at OpenAI since 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva is on leave at OpenAI starting Fall 2025. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was covered in a 2022 Quanta Magazine article, 'Researchers Achieve Absurdly Fast Algorithm for Network Flow', and on the Quanta Science Podcast (Apple, Google, Spotify). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received a Google Faculty Research Award, 2017 (USD 43,335). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Joshua Wang was a mentee of Sushant Sachdeva in Summer 2017 and is a Research Scientist at Google. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Fast Algorithms for Optimization and Learning on Graphs' at Google, New York, in May 2016. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Qiuyi (Richard) Zhang was a mentee of Sushant Sachdeva in Fall 2016 and is a Software Engineer at Google. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Visiting Faculty Researcher at Google from 2024 to 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Research Scientist at Google from 2016 to 2017. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva worked at OpenAI. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sushant Sachdeva worked at Google. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sushant Sachdeva worked at Cognition. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- In a May 2025 LinkedIn post he marked 18 years since that ICPC run, tagging teammates Sangram Raje and Ajit Nema, and wrote: "The world tomorrow will be very different, but being able to think through problems deeply will be the difference that will make your work stand out." (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- At the 2007 ACM ICPC World Finals in Tokyo he competed for IIT Bombay as team 'ACM(e) Solvers' with Ajit Kumar Nema and Sangram Raje, finishing 72nd (Honorable Mention, 2 problems solved). (https://cphof.org/standings/icpc/2007)
- Sushant Sachdeva was awarded the 2025 Infosys Award in Engineering and Computer Science in Dec 2025. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was awarded the Infosys Prize 2025 in Engineering and Computer Science for his pioneering contributions to fast algorithms and mathematical optimization. (https://www.utm.utoronto.ca/math-cs-stats/news/sushant-sachdeva-awarded-infosys-prize-2025-engineering-and-computer-science)
- Sushant Sachdeva received the 2025 Infosys Award in Engineering and Computer Science. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the 2025 McLean Award (CAD 125,000) by the University of Toronto Connaught Fund. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- The Infosys Prize laureate page for Sushant Sachdeva is at https://www.infosysprize.org/laureates/2025/sushant-sachdeva.html. (https://www.utm.utoronto.ca/math-cs-stats/news/sushant-sachdeva-awarded-infosys-prize-2025-engineering-and-computer-science, https://www.infosysprize.org/laureates/2025/sushant-sachdeva.html)
- Sushant Sachdeva gave a talk on 'Linear Algebraic Perspective on Graphs' at the Data Structures and Optimization for Fast Algorithms Bootcamp, Simons Institute, Berkeley, in Aug 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was awarded the 2023 Frontiers of Science Award in Jun 2023. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was awarded the Sloan Research Fellowship 2023 in Feb 2023. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was awarded the Young Alumni Achiever Award by IIT Bombay in Feb 2023. (https://sachdevasushant.github.io/)
- Sushant Sachdeva received the 2023 Frontiers of Science Award at the International Congress on Basic Sciences. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the 2023 Young Alumni Achiever Award from the Indian Institute of Technology Bombay (IITB). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva served on the Frontiers of Science Award, Computer Science Stream, ICBS 2024 award committee in 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva's paper received the Best Paper Award at FOCS 2022 in Oct 2022. (https://sachdevasushant.github.io/)
- Sushant Sachdeva received the Best Paper Award at FOCS 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the Ontario Early Researcher Award 2022-27 (CAD 150,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the Connaught New Researcher Award 2018 (CAD 10,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the 2008 President of India Gold Medal for topping the IITB class of 2008 (of 500+ students). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the 2008 Jayanti Deshmukh Memorial Gold Medal for being the most outstanding B.Tech. student in the computer science class of 2008 (out of 35 students). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received an Honorable Mention at the ACM ICPC World Finals, Tokyo 2007, representing IIT Bombay. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was to travel to Kiel in Germany to represent the country, along with three others, in the International Chemistry Olympiad in the second week of July. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Before IIT he was a science olympiad student: the Times of India reported in 2004 that he was going to Kiel, Germany to represent India at the International Chemistry Olympiad with three other students. He was also a KVPY fellow, placed 4th in the National Science Olympiad, and won an Australian Academy gold medal in science in 2002. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva ranked 1st all over India in the IIT Entrance Examination 2004 (among 170,000+ students). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Bronze Medalist at the 36th IChO (International Chemistry Olympiad) 2004 in Kiel, Germany. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva secured an All-India Rank One in the IIT-JEE merit list in his first attempt. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva received an Australian Academy gold medal in science in 2002. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva received the Aditya Birla Scholarship 2004–08, awarded to only 10 engineering students each year. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the Dhirubai Ambani Scholarship 2004–08, awarded to top 10 students in Maharashtra state. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received the Kishore Vaigyanik Protsahan Yojana (KVPY) fellowship 2002–04, awarded to around 50 students each year. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva secured fourth rank in the National Science Olympiad. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva secured third rank in the All-India Engineering Entrance Examination conducted by the Central Board of Secondary Education. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva co-authored 'Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time' with S. Dong, Y. Gao, G. Goranci, Y.T. Lee, R. Peng, and G. Ye in Journal of the ACM, Vol. 72 No. 4, pp. 1–75 (JACM 2025). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Maximum Flow and Minimum-Cost Flow in Almost-Linear Time' with L. Chen, R. Kyng, Y. P. Liu, R. Peng, and M. P. Gutenberg in Journal of the ACM, Vol. 72 No. 3, pp. 1–103 (JACM 2025). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'PREM: Privately Answering Statistical Queries with Relative Error' with B. Ghazi, C. Guzmán, P. Kamath, A. Knop, R. Kumar, and P. Manurangsi at COLT 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Eulerian Graph Sparsification by Effective Resistance Decomposition' with A. Jambulapati, A. Sidford, K. Tian, and Y. Zhao at SODA 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Laurel Aquino is an MScAC student in Sushant Sachdeva's group from 2025 to 2026. (https://sachdevasushant.github.io/)
- Jonathan Hsu is an MScAC student in Sushant Sachdeva's group from 2025 to 2026. (https://sachdevasushant.github.io/)
- Sipu Qi is an MScAC student in Sushant Sachdeva's group from 2025 to 2026. (https://sachdevasushant.github.io/)
- Jiongan Mu is an MScAC student in Sushant Sachdeva's group from 2025 to 2026. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'Fast Algorithms for ℓp-Regression' with D. Adil, R. Kyng, and R. Peng in Journal of the ACM, Vol. 71 No. 5, pp. 1–45 (JACM 2024). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Almost-Linear Time Algorithms for Decremental Graphs: Min-Cost Flow and More via Duality' with Jvd. Brand, L. Chen, R. Kyng, Y. P. Liu, S. Meierhans, and M. P. Gutenberg at FOCS 2024; it was invited to Highlights of Algorithms 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Better Sparsifiers for Directed Eulerian Graphs' with A. Thudi and Y. Zhao at ICALP 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Optimal Electrical Oblivious Routing on Expanders' with C. Florescu, R. Kyng, and M. P. Gutenberg at ICALP 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra' with R. Bhattacharjee, G. Dexter, C. Musco, A. Ray, and D. P. Woodruff at ITCS 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Electrical Flows for Polylogarithmic Competitive Oblivious Routing' with G. Goranci, M. Henzinger, H. Räcke, and A. R. Sricharan at ITCS 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Fast Algorithms for Separable Linear Programs' with S. Dong, G. Goranci, L. Li, and G. Ye at SODA 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time' with Jvd. Brand, L. Chen, R. Kyng, Y. P. Liu, R. Peng, M. P. Gutenberg, and A. Sidford at SODA 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was covered in the 2024 Simons Institute Newsletter, 'Four decades of max flow'. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Paul Zhang is an MSc student in Sushant Sachdeva's group from 2024 to 2026. (https://sachdevasushant.github.io/)
- Yuhe Fan is an MScAC student in Sushant Sachdeva's group from 2024 to 2025. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'Almost-Linear-Time Algorithms for Maximum Flow and Minimum-Cost Flow' with L. Chen, R. Kyng, Y. P. Liu, R. Peng, and M. P. Gutenberg in Communications of the ACM, December 2023, Vol. 66 No. 12, pp. 85–92 (CACM 2023). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Almost-linear time Algorithms for Max-Flow and More' at Princeton University, Theory Lunch, in Feb 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Graph Sparsification, Spectral Sketches, and Faster Resistance Computation via Short Cycle Decompositions' with T. Chu, Y. Gao, R. Peng, S. Sawlani, and J. Wang in SIAM Journal on Computing, Vol. 52 No. 6, pp. 18–85 (SICOMP 2023). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'A Deterministic Almost-Linear Time Algorithm for Minimum-Cost Flow' with Jvd. Brand, L. Chen, R. Kyng, Y. P. Liu, R. Peng, M. P. Gutenberg, and A. Sidford at FOCS 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'A Simple and Efficient Parallel Laplacian Solver' with Y. Zhao at SPAA 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'A Simple Framework for Finding Balanced Sparse Cuts via APSP' with L. Chen, R. Kyng, and M. Probst Gutenberg at SOSA 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'A New Approach to Estimating Effective Resistances & Counting Spanning Trees in Expanders' with L. Li at SODA 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sasha Voitovych was an undergraduate student of Sushant Sachdeva at UToronto in Winter 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Arun Jambulapati was a mentee of Sushant Sachdeva in Fall 2023 and is a Postdoc at U. Michigan. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave an invited plenary talk on 'Almost-linear time Algorithms for Max-Flow and More' at the Symposium on Discrete Algorithms (SODA) in Jan 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Anthony Rinaldi is an MScAC student in Sushant Sachdeva's group from 2023 to 2024. (https://sachdevasushant.github.io/)
- Hantang Li is an MScAC student in Sushant Sachdeva's group from 2023 to 2024. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'A Convergent and Dimension-Independent Min-Max Optimization Algorithm' with V. Keswani, O. Mangoubi, and N. K. Vishnoi at ICML 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Deepkamal Kaur Gill is an MScAC student in Sushant Sachdeva's group from 2022 to 2023. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization' with D. Adil and B. Bullins at NeurIPS 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Almost-linear-time Weighted ℓp-norm Solvers in Slightly Dense Graphs via Sparsification' with D. Adil, B. Bullins, and R. Kyng at ICALP 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Hao Zhang was an MScAC student in Sushant Sachdeva's group from 2021 to 2022. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'Regularized linear autoencoders recover the principal components, eventually' with X. Bao, J. Lucas, and R. Grosse at NeurIPS 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Faster Graph Embeddings via Coarsening' with M. Fahrbach, G. Goranci, R. Peng, and C. Wang at ICML 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Faster p-norm minimizing flows, via smoothed q-norm problems' with D. Adil at SODA 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Lawrence Li has been a Ph.D. student of Sushant Sachdeva at UToronto since 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Yibin Zhao has been a Ph.D. student of Sushant Sachdeva at UToronto since 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Jack McKinney was an undergraduate student of Sushant Sachdeva at UToronto in Summer 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Faster p-norm minimizing flows, via smoothed q-norm problems' at the Symposium on Discrete Algorithms (SODA) in Jan 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Lawrence Li is a PhD student in Sushant Sachdeva's group from 2020 onward. (https://sachdevasushant.github.io/)
- Yibin Zhao is a PhD student in Sushant Sachdeva's group from 2020 onward. (https://sachdevasushant.github.io/)
- Gramoz Goranci was a Postdoc in Sushant Sachdeva's group from 2020 to 2021. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression' with D. Adil and R. Peng at NeurIPS 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model' with G. Zhang, L. Li, Z. Nado, J. Martens, G. Dahl, C. Shallue, and R. Grosse at NeurIPS 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Flows in Almost Linear Time via Adaptive Preconditioning' with R. Kyng, R. Peng, and D. Wang at STOC 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Improved Semi-Supervised Learning with Multiple Graphs' with K. Viswanathan, A. Tomkins, and S. Ravi at AISTATS 2019 (Viswanathan and Sachdeva equal contribution). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Iterative Refinement for ℓp-norm Regression' with D. Adil, R. Kyng, and R. Peng at SODA 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Short Cycles via Low-Diameter Decompositions' with Y. P. Liu and Z. Yu at SODA 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Convergence Results for Neural Networks via Electrodynamics' with R. Panigrahy, A. Rahimi, and Q. Zhang at ITCS 2018. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Near-optimal approximation algorithm for simultaneous Max-Cut' with A. Bhangale, S. Khot, S. Kopparty, and D. Thiruvenkatachari at SODA 2018. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Zejun Yu was an undergraduate student of Sushant Sachdeva at UToronto in Summer 2018. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Sampling Random Spanning Trees Faster than Matrix Multiplication' with D. Durfee, R. Kyng, J. Peebles, and A. B. Rao at STOC 2017. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'A framework for analyzing resparsification algorithms' with R. Kyng, J. Pachocki, and R. Peng at SODA 2017. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Deeksha Adil was a PhD student in Sushant Sachdeva's group from 2017 to 2022. (https://sachdevasushant.github.io/)
- Sushant Sachdeva co-authored 'The mixing time of the Dikin walk in a polytope – A simple proof' with N. Vishnoi in Operations Research Letters, 44.5 (September 2016), pp. 630–634. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'An Arithmetic Analogue of Fox's Triangle Removal Argument' with P. Hatami and M. Tulsiani in Online Journal of Analytic Combinatorics 11 (OJAC) 2016. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Approximate Gaussian Elimination for Laplacians: Fast, Sparse, and Simple' with R. Kyng at FOCS 2016; it was invited to Highlights of Algorithms 2017. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Sparsified Cholesky and Multigrid Solvers for Connection Laplacians' with R. Kyng, Y. T. Lee, R. Peng, and D. A. Spielman at STOC 2016. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders' with S. Arora, R. Ge, and A. Moitra in Algorithmica 72.1 (May 2015), pp. 215–236. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Inapproximability of Minimum Vertex Cover on k-Uniform k-Partite Hypergraphs' with V. Guruswami and R. Saket in SIAM Journal on Discrete Mathematics 29.1 (SIDMA) 2015, pp. 36–58. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Fast, Provable Algorithms for Isotonic Regression in all ℓp-norms' with R. Kyng and A. B. Rao at NIPS 2015. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Algorithms for Lipschitz Learning on Graphs' with R. Kyng, A. B. Rao, and D. A. Spielman at COLT 2015. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Simultaneous Approximation of Constraint Satisfaction Problems' with A. Bhangale and S. Kopparty at ICALP 2015. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Lecturer for CPSC 665: An Algorithmist's toolkit at Yale University in Spring 2015, designing and teaching a full course on advanced algorithms (2 lectures a week), with 55% of students rating the course excellent (highest rating). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored the monograph 'Faster Algorithms via Approximation Theory' with N. K. Vishnoi in Foundations and Trends in Theoretical Computer Science 9.2 (FTTCS) 2014, pp. 125-210. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Greedy Geometric Algorithms for Collection of Balls, with Applications to Geometric Approximation and Molecular Coarse-Graining' with F. Cazals, T. Dreyfus, and N. Shah in Computer Graphics Forum 33–6, 2014. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was offered a Postdoctoral Research Fellowship by the Institute for Computational and Experimental Research in Mathematics (2013-2014, USD 50,000) which he declined. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Optimal Inapproximability for Scheduling Problems via Structural Hardness for Hypergraph Vertex Cover' with R. Saket at CCC 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva's Ph.D. thesis at Princeton University was 'New Results in the Theory of Approximation: Fast Graph Algorithms and Inapproximability', advised by Sanjeev Arora. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Approximating the Exponential, the Lanczos Method and an Õ(m*)-Time Spectral Algorithm for Balanced Separator' with L. Orecchia and N. K. Vishnoi at STOC 2012. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Finding Overlapping Communities in Social Networks: Towards a Rigorous Approach' with S. Arora, R. Ge, and G. Schoenebeck at EC 2012. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Testing Permanent Oracles — Revisited' with S. Arora, A. Bhattacharyya, and R. Manokaran at RANDOM 2012. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'On the Characterization and Selection of Diverse Conformational Ensembles with Applications to Flexible Docking' with S. Loriot, K. Bastard, C. Prevost, and F. Cazals in Computational Biology and Bioinformatics, IEEE/ACM Transactions on 8.2 (TCBB) 2011, pp. 487–498. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva co-authored 'Nearly Optimal NP-Hardness of Vertex Cover on k-Uniform k-Partite Hypergraphs' with R. Saket at APPROX 2011. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva's B.Tech. thesis at IIT Bombay was 'On the Hardness of Approximating Vertex Cover', advised by Sundar Vishwanathan. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Postdoctoral Associate at Yale University from 2014 to 2016, supervised by Prof. Daniel Spielman. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received his Ph.D. and M.A. from the Department of Computer Science at Princeton University from 2008 to 2013, advised by Prof. Sanjeev Arora. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Paul Zhang was an M.Sc. student of Sushant Sachdeva at UToronto from 2024 to 2026. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Laurel Aquino was an MScAC student of Sushant Sachdeva at UToronto from 2025 to 2026. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Jonathan Hsu was an MScAC student of Sushant Sachdeva at UToronto from 2025 to 2026. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sipu Qi was an MScAC student of Sushant Sachdeva at UToronto from 2025 to 2026. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Jiongan Mu was an MScAC student of Sushant Sachdeva at UToronto from 2025 to 2026. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Yuhe Fan was an MScAC student of Sushant Sachdeva at UToronto from 2024 to 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Hantang Li was an MScAC student of Sushant Sachdeva at UToronto from 2023 to 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Anthony Rinaldi was an MScAC student of Sushant Sachdeva at UToronto from 2023 to 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Deepkamal Kaur Gill was an MScAC student of Sushant Sachdeva at UToronto from 2022 to 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Hao Zhang was an MScAC student of Sushant Sachdeva at UToronto in 2021–22. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Deeksha Adil was an M.Sc. student of Sushant Sachdeva at UToronto from 2017 to 2019 and a Ph.D. student from 2019 to 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Gramoz Goranci was a postdoc of Sushant Sachdeva from 2020 to 2021 and is an Assistant Professor at U. Vienna. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Anvith Thudi was an undergraduate student of Sushant Sachdeva at UToronto from 2022 to 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Devansh Ranade was an undergraduate student of Sushant Sachdeva at UToronto from 2020 to 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Postdoctoral Associate in the Department of Computer Science at Yale University from 2014 to 2016, hosted by Daniel Spielman. (https://sachdevasushant.github.io/)
- Sushant Sachdeva earned a Ph.D. in Computer Science at Princeton University from 2008 to 2013, advised by Sanjeev Arora. (https://sachdevasushant.github.io/)
- DJ Strouse replied to Sushant Sachdeva's announcement, saying 'We're excited to have you!' (https://x.com/sushnt/status/1991664996305273096)
- Jason Lee replied to Sushant Sachdeva's announcement, saying 'Awesome congrats'. (https://x.com/sushnt/status/1991664996305273096)
- Dan Roberts replied to Sushant Sachdeva's announcement, saying 'Welcome! :)' (https://x.com/sushnt/status/1991664996305273096)
- Sushant Sachdeva gave a talk on 'Directed Eulerian Graph Sparsification' at the Data Structures and Optimization for Fast Algorithms Reunion, Simons Institute, Berkeley, in Apr 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva has been a Faculty Member of the Vector Institute since 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received a 2025 MITACS Accelerate Grant (CAD 45,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received an NSERC Discovery Grant 2025-2030 (CAD 310,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Area Chair for Neural Information Processing Systems (NeurIPS) 2025 in 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was on the program committee of IEEE Foundations of Computer Science (FOCS) 2025 in 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was Co-PI on NSERC-CSE Research Communities grants 2024-28 (total CAD 5,400,000, his share CAD 266,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva has been an Editor of TheoretiCS since 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was on the program committee of Innovations in Theoretical Computer Science (ITCS) 2025 in 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was on the program committee of EATCS International Colloquium on Automata, Languages and Programming (ICALP) 2024 in 2024. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva has been Associate Professor (with tenure) in Mathematical and Computational Sciences and in the Department of Computer Science at the University of Toronto since 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Visiting Scientist at the Simons Institute for the Theory of Computing, UC Berkeley, in Fall 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received a 2023 Sloan Research Fellowship (USD 75,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Invited long-term Participant for Fall 2023 at the Simons Institute UC Berkeley. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Invited Plenary Speaker at SODA 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received a 2023 MITACS Accelerate Grant (CAD 35,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an editor for the SIAM Journal on Computing (SICOMP) FOCS 2023 special issue in 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was invited to give a Plenary Talk at SODA 2023 in Jan 2023. (https://sachdevasushant.github.io/)
- Deeksha Adil successfully defended her Ph.D. under Sushant Sachdeva in Aug 2022. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was on the program committee of European Symposium on Algorithms (ESA) 2022 in 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was on the program committee of ACM Symposium on Theory of Computing (STOC) 2022 in 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Instructor for CSC 2240H: Graphs, Matrices, and Optimization at the University of Toronto in Fall 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Instructor for CSC 373H5: Algorithm Design and Analysis at the University of Toronto in Fall 2022. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Improved ℓp-norm Optimization via Iterative Refinement' at the University of Washington Theory seminar in Apr 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received a 2021 MITACS Accelerate Grant (CAD 65,000). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an editor for the ACM Transactions of Algorithms (TALG) SODA 2021 special issue in 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was on the program committee of ACM-SIAM Symposium on Discrete Algorithms (SODA) 2021 in 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Instructor for CSC 2421H: Graphs, Matrices, and Optimization at the University of Toronto in Winter 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Instructor for CSC 263H5: Data Structures and Analysis at the University of Toronto in Winter 2021. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Fast IRLS Algorithms for p-norm regression' at the University of Toronto, Fuji Co-creation Lab seminar, in May 2020. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Graph Sparsifiers via Short-Cycle Decompositions' at the Institute for Advanced Study, Princeton, in Dec 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Visitor at the Institute for Advanced Study in Fall 2019. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Approximate Gaussian Elimination and Applications' at the Laplacian 2.0 Workshop, FOCS 2018, in Oct 2018. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Fast Approximate Gaussian Elimination for Laplacians' at the Dagstuhl Seminar, Germany, High Performance Graph Algorithms, in Jun 2018. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received an NSERC Discovery Grant 2018-2025 (CAD 243,500). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Yang P. Liu was a mentee of Sushant Sachdeva in Summer 2018 and is an Assistant Professor at Carnegie Mellon University. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an organizer of the workshop 'Laplacians 2.0' at FOCS 2018 in Paris, France. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva and Richard Peng (GaTech) organized a workshop at FOCS 2018 titled Laplacian Paradigm 2.0. (https://sachdevasushant.github.io/)
- Sushant Sachdeva has been at the University of Toronto since 2017. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Instructor for CSC 2421H: Fast Algorithms via Continuous Methods at the University of Toronto in Fall 2017. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Lipschitz Learning on Graphs' at Carnegie Mellon University, Theory seminar, in Nov 2016. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Regression on Graphs – Lipschitz and Isotonic' at the University of Texas Austin, Simons Seminar, in May 2016. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Lipschitz Learning on Graphs' at the Indian Institute of Technology Bombay, CS department Seminar, in Jul 2015. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on ℓp-norm at the University of California San Diego, CS department theory seminar, in May 2015. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on ℓp-norm at Yale University, Statistics department seminar, in Apr 2015. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Xiao Shi was a mentee of Sushant Sachdeva in Fall 2015 and is a Software Engineer at Facebook. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Triangle Removal in Groups' at the Simons Institute for Theory of Computing, Real analysis seminar, in Nov 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Generalizations of KKL Theorem and Friedgut's Junta Theorem' at the Simons Institute for Theory of Computing, UC Berkeley, Real analysis workshop, in Aug 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Hardness for Scheduling Problems' at the Conference on Computational Complexity (CCC) in Jun 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Triangle Removal in Groups' at the Institute for Advanced Study (IAS) Computer science/discrete mathematics seminar in Apr 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva gave a talk on 'Near-linear Time Algorithms for Balanced Separator' at Rutgers University, DIMACS/CS theoretical computer science seminar, in Mar 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Simons Research Fellow at the Simons Institute for the Theory of Computing, UC Berkeley, in Fall 2013. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received a Simons-Berkeley Research Fellowship, Fall 2013 (USD 26,466). (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Simons Fellow at the Simons Institute at UC Berkeley in Fall 2013. (https://sachdevasushant.github.io/)
- Sushant Sachdeva gave a talk on 'Testing Permanent Oracles' at the International Workshop on Randomization and Computation (RANDOM) in Aug 2012. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Research Intern at Toyota Technological Institute, Chicago, IL, in Summer 2012, supervised by Yury Makarychev. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Research Intern at Microsoft Research India, Bangalore, India, in Summer 2011, supervised by Nisheeth K. Vishnoi. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Assistant in Instruction for COS 433: Cryptography at Princeton University in Winter 2010. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was an Assistant in Instruction for COS 340: Reasoning About Computation at Princeton University in Fall 2009. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Research Intern at INRIA, Sophia-Antipolis, France, in Summer 2007, supervised by Frederic Cazals. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Research Intern at ETH, Zurich, Switzerland, in Summer 2006, supervised by Riko Jacob. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was Assistant Professor in Mathematical and Computational Sciences and in the Department of Computer Science at the University of Toronto from 2017 to 2023. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva was a Vector Institute Faculty Affiliate from 2019 to 2025. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva received his B.Tech. from the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay from 2004 to 2008. (https://sachdevasushant.github.io/app/cv-sachdeva.pdf)
- Sushant Sachdeva is an Associate Professor at the University of Toronto. (https://sachdevasushant.github.io/)
- Sushant Sachdeva is a Faculty Member at the Vector Institute. (https://sachdevasushant.github.io/)
- Sushant Sachdeva earned a B.Tech. in Computer Science and Engineering at IIT Bombay from 2004 to 2008. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was a Program Committee member for FOCS 2025, ITCS 2025, ICALP 2024, ITCS 2024, and FOCS 2023. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was an Area chair for NeurIPS 2025 and 2024. (https://sachdevasushant.github.io/)
- Sushant Sachdeva is an Associate Editor for TheoretiCS. (https://sachdevasushant.github.io/)
- Sushant Sachdeva was a Guest Editor for TALG (SODA 2019 Special Issue) and SICOMP (STOC 2019 Special Issue). (https://sachdevasushant.github.io/)
- Sushant Sachdeva is an algorithms researcher at the University of Toronto. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sushant Sachdeva studied at IIT Bombay. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sushant Sachdeva earned a PhD at Princeton. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sangram Raje is a collaborator of Sushant Sachdeva. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Ajit Nema is a collaborator of Sushant Sachdeva. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Shantanu Gangal is a collaborator of Sushant Sachdeva. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sangram Raje and Shantanu Gangal are putting these lessons to great use at Prodigal. (https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b)
- Sushant Sachdeva is a professor at the University of Toronto Mississauga's Department of Mathematical & Computational Sciences. (https://www.utm.utoronto.ca/math-cs-stats/news/sushant-sachdeva-awarded-infosys-prize-2025-engineering-and-computer-science)
- Sushant Sachdeva's work has redefined the boundaries of algorithmic theory and continues to shape the future of networked systems and computational infrastructure. (https://www.utm.utoronto.ca/math-cs-stats/news/sushant-sachdeva-awarded-infosys-prize-2025-engineering-and-computer-science)
- Sushant Sachdeva pursued his class X from Rajhans Vidyalaya in Mumbai, where he scored 92.4 per cent in exams. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva moved to Pune to pursue class XII studies from the Army Public School. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva received a fellowship under the Central Government's Kishore Vaigyanik Yojana. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)
- Sushant Sachdeva scored 97.2 per cent in board exams. (https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms)

## Experience
- Member of Technical Staff at Cognition (Sep 2026 - Present)
- Associate Professor at Department of Computer Science, University of Toronto (Jul 2023 - Present)
- Faculty Member at Vector Institute - Toronto, Ontario, Canada (Oct 2025 - Present)
- Assistant Professor at Department of Computer Science, University of Toronto - Greater Toronto Area, Canada (Aug 2017 - Jul 2023)
- Faculty Affiliate at Vector Institute (Sep 2019 - Oct 2025)
- Member of Technical Staff at OpenAI (Aug 2025 - Jul 2026): RL training science
- Visiting Researcher at Google - Mountain View, California, United States (Jan 2024 - Jul 2025): Distillation for large language models (llms)
- Visiting Scientist at Simons Institute for the Theory of Computing - Berkeley, California, United States (Aug 2023 - Dec 2023): Visiting scientist at the Fast Algorithms program.
- Advisor at Cinchy (Apr 2021 - Oct 2021): Technical advisory re: efficient distributed data storage
- Research Scientist at Google - Mountain View, CA (Aug 2016 - Aug 2017)
- Postdoctoral Associate at Yale University - New Haven, CT (Jan 2014 - Jul 2016)
- Postdoctoral Fellow at UC Berkeley (Aug 2013 - Dec 2013): Fellow at the Simons Institute for Theoretical Computer Science
- Research Intern at Toyota Technological Institute at Chicago (TTIC) (Jun 2012 - Aug 2012)
- Research Intern at Microsoft Research - Banagalore, India (Jun 2011 - Sep 2011)
- Research Intern at INRIA Sophia Antipolis (May 2007 - Jul 2007): Worked as a research intern in the Geomertica Group at INRIA, Sophia Antipolis

## Education
- Princeton University - Doctor of Philosophy (Ph.D.), Theoretical Computer Science - (Jan 2008 - Jan 2013)
- Indian Institute of Technology, Bombay - B.Tech., Computer Science - (Jan 2004 - Jan 2008)

## Sources
- https://www.linkedin.com/in/sachdevasushant
- https://x.com/sushnt
- https://sachdevasushant.github.io/app/cv-sachdeva.pdf
- https://x.com/sushnt/status/1991664996305273096
- https://cphof.org/standings/icpc/2007
- https://www.utm.utoronto.ca/math-cs-stats/news/sushant-sachdeva-awarded-infosys-prize-2025-engineering-and-computer-science
- https://github.com/sachdevasushant
- https://sachdevasushant.github.io/
- https://www.linkedin.com/posts/sachdevasushant_cant-believe-its-been-18-years-sangram-activity-7328506292786880512-Ek3b
- https://api.github.com/users/sachdevasushant/repos?per_page=100
- https://timesofindia.indiatimes.com/education/news/when-dreams-come-true/articleshow/774956.cms
- https://www.linkedin.com/in/sachdevasushant?miniProfileUrn=urn%3Ali%3Afsd_profile%3AACoAAAAtOjEBGpiKOwe8wrBxqE9vu1xhAlQgCRg
- https://x.com/sushnt/status/2115256589200584951
- https://www.infosysprize.org/laureates/2025/sushant-sachdeva.html
- https://github.com/sachdevasushant/Isotonic


Researched with Autumn (https://www.autumn.ai) from public sources. Updated 2026-11-04. Profile: https://www.autumn.ai/resources/cognition/people/sushant-sachdeva · Everyone at Cognition: https://www.autumn.ai/resources/cognition/people