Sergey Nadtochiy

Sergey Nadtochiy serves as Professor of Applied Mathematics within the College of Computing at Illinois Institute of Technology. His research bridges theoretical mathematics with financial applications through rigorous probabilistic and analytical frameworks.

His academic foundation includes:

• Ph.D. in Operations Research & Financial Engineering from Princeton University (2009), advised by R. Carmona
• M.A. in Operations Research & Financial Engineering from Princeton University (2008), advised by R. Carmona
• Specialist (M.Sc.) in Mathematics, summa cum laude, from Moscow State University (2005), advised by A. Shiryaev

Nadtochiy's research program centers on Financial Mathematics, Probability Theory, and Partial Differential Equations with applications to market microstructure, optimal contract design, and systemic risk. His work demonstrates deep integration of Stochastic Control and Game Theory to model complex financial phenomena like price impact and limit order book dynamics, while recent publications extend into mathematical physics through Stefan problem analysis.

Analysis of his 15 most recent publications reveals a strategic evolution from pure financial mathematics toward interdisciplinary connections with mathematical physics. The 2022-2024 works show increasing focus on the Stefan problem and diffusion-limited aggregation, while maintaining core expertise in market microstructure through studies on price impact concavity, brokerage contracts, and liquidity effects.

His scientific recognition includes:

• Award for excellence (honorific fellowship) from Moscow State University (2001-2005)
• SIAG/FME Junior Scientist Prize from SIAM (2012)
• Charlotte Elizabeth Procter Honorific Fellowship from Princeton University (2008-2009)
• Gordon Y.S. Wu Honorific Fellowship from Princeton University (2005-2009)

Nadtochiy has secured significant research funding as sole Principal Investigator on two NSF awards: a CAREER grant (DMS-1855309, 2017-2022) and earlier grant DMS-1411824 (2014-2017). While no formal student advisees are listed in the source materials, his collaborative publications with researchers like M. Shkolnikov and S. Shreve demonstrate active mentorship within research teams focused on probabilistic methods and financial modeling.