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Alex Wein

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My research is a mix of theoretical computer science, statistics, probability, and data science. More specifically: CV (updated 1/26/2025) Family: Melissa (wife), Nicole (sister), Natasha (sister), Maya (sister-in-law) (45 minutes) Sharp Phase Transitions in Estimation with Low-Degree Polynomials SLMath, Apr. 2025 [video] [slides] [paper1] [paper2] (1 hour) Unifying Statistical Physics and Low-Degree Polynomials? Les Houches School of Physics, Feb. 2025 [video] [slides] Computational Complexity of Statistics: New Insights from Low-Degree Polynomials Alexander S. Wein [arXiv] [slides] Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira ISAAC Congress (International Society for Analysis, its Applications and Computation), 2019 [arXiv] Notes on Computational-to-Statistical Gaps: Predictions using Statistical Physics Afonso S. Bandeira, Amelia Perry, Alexander S. Wein Portugaliae Mat

("wine", he/him) Contact Information Department of Mathematics University of California, Davis Office: Mathematical Sciences Building 2138 aswein@ucdavis.edu About Me I am an Associate Professor of Mathematics at UC Davis. My research is a mix of theoretical computer science, statistics, probability, and data science. More specifically: Math of data science: what are the optimal algorithms for finding a hidden structure buried in random noise, and under what conditions is this even possible? Computational complexity of statistical inference, particularly in the low-degree…

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