PSPachara Sawettamalya
Princeton, New Jersey, United States · academicPachara Sawettamalya (nicknamed Akin) is a PhD student in the Theory Group at Princeton University, advised by Huacheng Yu, working on communication complexity, streaming/sketching, and sublinear algorithms. He earned a B.S. in Mathematics and Computer Science and an M.Eng. in Computer Science from MIT, where he was advised by Ronitt Rubinfeld, and is now looking for postdoctoral positions starting Fall 2027 or Spring 2028.
- Quant employment verification: UNRESOLVED. The only evidence for a quantitative-finance role is an index-derived LinkedIn record listing 'Quantitative Research Intern' at Jump Trading LLC (Chicago), dated 2020, on the subject's profile pachara-sawettamalya-6b6783192; no independent primary-source (company page, press release, or news) confirmation was found, so this remains an index-only claim and is recorded as uncertain. Jump Trading LLC is a proprietary high-frequency trading / market-making firm and therefore qualifies as a quantitative-finance employer if the role is confirmed.2020
- Rising fifth-year PhD student in the Theory Group at Princeton University, advised by Huacheng Yu; research spans communication complexity, streaming/sketching, and sublinear algorithms. Looking for postdoctoral positions in Fall 2027 or Spring 2028, which dates the PhD to roughly a 2022 start.
- Holds a B.S. in Mathematics and Computer Science and an M.Eng. in Computer Science from MIT, advised by Ronitt Rubinfeld.
- Research output includes co-authored papers on communication complexity and streaming sketches, e.g. 'Gap-Majority Lemmas in Communication Complexity' with Huacheng Yu (2026) and 'A (Very) Nearly Optimal Sketch for k-Edge Connectivity Certificates' (SOSA 2026).2026
- Thailand olympiad identity: reported as an IMO 2015 and 2016 contestant for Thailand; the imo-official contestant page returned a 'page does not exist' error, so the exact medal/score could not be confirmed from the primary IMO results source.2016
- Named an MIT EECS | Analog Devices Undergraduate Research and Innovation Scholar (SuperUROP) with a project on parallel and sublinear algorithms.
- Teaching assistant / instructor across several MIT courses (Computability and Complexity, Linear Algebra and Optimizations, Advanced Mathematics for Finance, Discrete Applied Mathematics), indicating a strong theoretical-CS teaching record.2021
- Machine Learning Intern at ATTA (atta-ai.com) in Bangkok in 2018, building UNet-based dermatological health algorithms; ATTA is a healthcare-AI company, not a quantitative-finance employer.2018
- Goes by the nickname 'Akin'; personal site lists 'Pachara but some people might know me as Akin'.
• Wrote recitation, problem set, and exam materials. Managed grading of the course. Taught one section a week. • Taught one section a week. Held office hour weekly. Regularly answe
Study sublinear and local computation algorithms for the k-connectivity problems.
• Create a recitation curriculum and course materials (notes, problem sets, projects, exams) for the entire class. • Teach a section of 14 students biweekly. Hold office hour weekl
Moderated an online class. Wrote and coded weekly problem sets and materials onto a platform. Interacted with learners via a forum.
Set up grading norms, grade problem sets and class project, and give detailed feedback in both mathematics and writing aspects.
Study sublinear and local computation algorithms for the Longest Increasing Subsequence with several extensions such as dimensional extension and variation of distance functions.
• Used a super computer grid to clean up, verify, and process various sources of market data derived features in order to build statistical-based stock volatility prediction models
Grade students’ problem sets for classes Design and Analysis of Algorithms, Probability and Random Variables, and Theory of Computation.
Competition record
Thailand · IMO