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Pawel Polak

Assistant Professor; Visiting Professor · Stony Brook University · Stony Brook University--SUNY

Quick answer: Pawel Polak is Assistant Professor; Visiting Professor at Stony Brook University--SUNY. Pawel Polak shows an active PhD hiring signal as of 2026-09-11.

⭐ Prospective Students: I am seeking Ph.D. students with a strong foundation in mathematics, statistics, physics, and/or computer science. Prior experience or training in finance is not required. Prospective students may apply to the Ph.D. program in Applied Mathematics & Statistics at Stony Brook University and reference my name in their application. Please reachout to me via email to discuss poten

Research interests

statistical learning and machine learning methods with applications in engineering, medicine, and finance; machine learning and agent-based modeling to advance the study of fixed-income markets; AI in quantitative finance, machine learning, and computer vision

Selected publications (since 2023)

Recent joint work with AMS PhD students has resulted in three papers (two oral presentations) accepted at the ACM International Conference on AI in Finance (ICAIF), as well as additional acceptances at AISTATS 2026 and WACV 2026. Research Excellence: CVPR 2024 (Top 1 Computer Science Conference) Highlight Paper (Top ~2.8% of total submissions), three NeurIPS Workshops Papers (2024 Machine Learning in Optimization, 2023 Physics, 2023 Medicine).

Frequently asked questions

Is Pawel Polak hiring PhD students at Stony Brook University--SUNY?
Yes. As of 2026-09-11, Pawel Polak's faculty page shows a PhD hiring signal: Prospective Students: I am seeking Ph.D. students with a strong foundation in mathematics, statistics, physics, and/or computer science. Prior experience or training in finance is not required. Prospe.
What does Pawel Polak research?
statistical learning and machine learning methods with applications in engineering, medicine, and finance; machine learning and agent-based modeling to advance the study of fixed-income markets; AI in quantitative finance, machine learning, and computer vision

Data last updated: 2026-09-11 · Source: phd-match.com faculty database.

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