Our first feature is Huy Tuan Pham, a Two Sigma Fellow and doctoral student at Stanford’s Mathematics department. We spoke with Huy about how the Two Sigma Fellowship has supported his doctorate journey and his exciting achievement of proving a major open problem in probabilistic combinatorics: the Kahn-Kalai conjecture.

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Two Sigma’s Academic Partnerships program offers graduate students many ways to connect with the Two Sigma community. Through fellowship programs and research funding for PhDs and internship opportunities for Masters students, we take great pride in supporting promising students who are engaged in innovative research in STEM fields.

Teaching Assistant for: Math 104 (Applied Linear Algebra), Math 138 (Stochastic Processes and Applications), Math 61DM (Modern Mathematics: Discrete Methods), Math 107 (Introduction to Graph Theory), Math 108 (Introduction to Combinatorics). Probability: Probability theory. Stochastic calculus. Schramm-Loewner evolution. Random matrix theory.

Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing … Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …

Instructor for: Math 108 (Introduction to Combinatorics) - Spring 2023. Programming skills: Working pro ciency in Matlab, Python. Experience in R, C, C++, Java.

‪Ho Chi Minh City University of Technology and Education‬ - ‪‪827 lần trích dẫn‬‬ - ‪Compliant mechanisms‬ - ‪Ultrasonics‬ - ‪Vibration-Asissted Machining‬

Huy Tuan Pham: Curriculum Vitae [email protected] k web.stanford.edu/ huypham Department of Mathematics, Stanford University. Building 380, Stanford, CA 94305, USA. ... PhD in Mathematics. Advisor: Jacob Fox University of Cambridge, Cambridge, UK MASt in Mathematics with Distinction. Rank 1 of Part III Stanford University, Stanford, CA, USA ...

Huy Tuan Pham earned a doctorate in mathematics from Stanford and was named a Clay Research Fellow in 2023. His research focuses on combinatorics and probability, in particular the analysis of large networks and random networks. His work has applications in fields such as number theory, theoretical computer science, and machine learning.

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