Carsten Chong

Research interests: stochastic partial differential equations, statistical analysis of rough processes

Gokce Dayanikli

PhD, Princeton University

Statistical Inference / Time-Series Modelling

Gökçe Dayanıklı is an assistant professor in the Department of Statistics. Her research interests include mean field game and control applications, contract theory, and innovative machine learning approaches to solve these problems. She earned her Ph.D. in Operations Research & Financial Engineering from Princeton University where she was given the School of Engineering and Applied Science Award for Excellence.

Yongchan Kwon

Yongchan Kwon is a new term Assistant Professor in the Department of Statistics. His research focuses on developing more interpretable and rigorous machine learning methods, directly motivated by scientific questions. In particular, he has been interested in data valuation and attribution problems. Before joining Columbia, he received a Ph.D. at Seoul National University in South Korea and did a postdoc at Stanford University.

Johannes Wiesel

Chenyang Zhong

Chenyang Zhong received his Ph.D. in Statistics from Stanford University in 2022 advised by Prof. Persi Diaconis. His research interests revolve around Markov chain Monte Carlo (including design of efficient sampling algorithms and their convergence rate analysis), probability (including random permutation models, random matrix theory, and interacting particle systems), and statistical machine learning. He is also enthusiastic about the applications to scientific problems.