Published multiple papers, such as 'Sample complexity of branch-length estimation by maximum likelihood' at ICML 2025. Authored two textbooks: 'Mathematical Methods in Data Science: Bridging Theory and Applications with Python' (Cambridge University Press, 2025) and 'Modern Discrete Probability: An Essential Toolkit' (Cambridge University Press, 2024). Current research is supported by NSF grants (DMS-2023239, DMS-2308495), a Van Vleck Research Professor Award, and a Vilas Distinguished Achievement Professorship.
Research Experience
Serves as a professor at the University of Wisconsin-Madison, belonging to the Probability Group and Applied Mathematics Group. Also has an affiliate appointment in the Department of Statistics and is affiliated with the Theory of Computing Group in the Department of Computer Sciences. Often found at the Wisconsin Institute for Discovery and is on the executive committee of the Institute for Foundations of Data Science (IFDS).
Education
Specific educational background information not provided.
Background
Vilas Distinguished Achievement Professor in the Department of Mathematics at the University of Wisconsin-Madison. Research interests lie at the intersection of applied probability, statistics, and theoretical computer science, with an emphasis on biological applications.
Miscellany
Personal interests and other details not extensively listed.