Photo by Biyue Pan

Department of Statistics, University of Washington
CV (updated March 2024)
Google Scholar Profile

I am an assistant professor in the Department of Statistics at the University of Washington. I was a postdoctoral fellow of ETH Foundations of Data Science (ETH-FDS) at ETH Zürich, mentored by Peter Bühlmann. Previously, under the supervision of Venkat Chandrasekaran, I obtained my PhD in the Department of Electrical Engineering at Caltech.

My research interests lie at the interface of optimization and statistics. My work currently focuses on developing efficient methods for graphical and latent-variable modeling, learning provably optimal causal models from data, domain adaptation, and false positive error control in non-traditional settings. I am also interested in exploring the utility of statistical methodologies for real-world applications, especially in the earth sciences.

I am currently looking for motivated PhD students with a strong mathematical background and interest. If you are a UW PhD student or have just been admitted, feel free to reach out to learn more and to talk about specific research ideas!

Together with Yuan Jiang and Pragya Sur, I am co-organizing the 2024 IMS New Researcher Conference. Please consider applying!




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