Jeet Mohapatra

Jeet Mohapatra is a computer scientist and machine-learning researcher at MIT, where he completed a BS in Mathematics and Computer Science (2015-2019), an MEng in Computer Science (2019-2021) and a PhD in Computer Science (2021-2025) and has worked as a Graduate Research Assistant since 2019. Before and during his studies he interned at AQR Capital Management (Research Development Engineering, 2018), FeatureX (machine learning, 2017) and Hive Maritime (data science, 2016). Representing India, he won a Bronze medal at the 2014 International Mathematical Olympiad and a Silver at IMO 2015. His published research spans adversarial robustness and representation learning (CVPR 2020, AISTATS 2021, ICML 2025).

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• Quant employment verification: CONFIRMED. Evidence: LinkedIn (index-sourced enrichment) lists a 2018 Research Development Engineering Internship at AQR Capital Management, Greenwich CT; identity is supported (continuous MIT CS/Math education; AQR office tied to his MIT-era internship timeline). AQR Capital Management is a global quantitative investment manager (company description + 'Financial Services' industry), so the employer is genuinely quantitative finance. Caveat: a summer internship, not a full-time role; the date is stated only to year 2018; the LinkedIn record is index-sourced rather than a separate independent primary source.2018
• Research Development Engineering Intern at AQR Capital Management (Greenwich, CT) in 2018 - an actual internship at a global quantitative investment manager (AQR self-describes as 'a global investment management firm' at the nexus of economics, behavioral finance, data and technology).2018
• Won Silver at IMO 2015 in Chiang Mai as part of the Indian team.Jul 2015
• Won Bronze at IMO 2014 in Cape Town as part of the Indian team (listed under Odisha).Jul 2014
• Defended a doctoral thesis titled 'Navigating Generative Vector Fields: Principled Inference for High-Dimensional Inverse Problems' at MIT EECS.2025
• Earned MIT BS in Mathematics and Computer Science (2015-2019), MEng in Computer Science (2019-2021), PhD in Computer Science (2021-2025); the continuous MIT CS/Math footprint anchors the olympiad identity to the researcher.
• First author of 'Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations' (ICML 2025, PMLR v267), a shift toward AI-for-science/molecular simulation in his late-PhD work.2025
• Data Science Intern at Hive Maritime in 2016, a predictive-analytics maritime startup; a MassTech Intern Partnership case study names 'Jeet Mohapatra and Lynn Yu' as the two MIT students Hive hired, confirming the internship and its MIT source.2016
• Selected for MIT from Class XII at St Xavier's School and felicitated by Odisha CM Naveen Patnaik - the entry point of his MIT track.2015
• First author of SynBench (arXiv 2210.02989), a task-agnostic benchmarking method for pretrained representations; the paper lists his MIT email [contact omitted].Oct 2022
• Machine Learning Intern at FeatureX in 2017; FeatureX Inc is a Boston machine-learning technology company (SBIR-registered, founded 2015), not a quant fund.2017
• Was a FIITJEE Bhubaneswar student; FIITJEE's own results page credits him with the IMO 2015 Silver.2015