Yair Shenfeld

Yair Shenfeld is an Assistant Professor of Applied Mathematics at Brown University. Before joining Brown, he was a C.L.E. Moore Instructor and NSF Postdoctoral Fellow at MIT's Mathematics Department. He earned his PhD in Mathematics from Princeton University under Ramon van Handel and a B.Sc. in Mathematics from MIT.

His research focuses on high-dimensional probability, exploring its intersections with analysis, geometry, and mathematical physics. Key areas include stochastic analysis, functional inequalities, optimal transport, renormalization group methods, and convex geometry. Notable contributions involve extremal problems in convex geometry and stability results for functional inequalities like the logarithmic Sobolev inequality.

Shenfeld has presented at venues such as the BIRS Workshop on Stochastic Mass Transports (2022), where he discussed transportation along Langevin dynamics. His work often employs advanced techniques from probability theory, geometric analysis, and functional analysis to address foundational questions in mathematical physics.

Education:

• PhD in Mathematics, Princeton University (Advisor: Ramon van Handel)
• B.Sc. in Mathematics, MIT

Awards & Recognition: None explicitly listed in texts.

Professional Activities: Active in collaborative research networks, with publications in top journals like Acta Mathematica, Duke Mathematical Journal, and Annals of Henri Poincaré. His talks and workshop participation highlight engagement with the broader mathematical community.