Department of Statistics, University of Washington
CV (updated December 2022)
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 modeling and latent-variable modeling, learning causal relations from data, and controlling for false discoveries in contemporary data analysis settings. I am also interested in exploring the utility of statistical methodologies for real-world applications such as water resource management and medical imaging.
I am currently looking for motivated PhD students with strong mathematical background and interest in methodological and theoretical development in any of the following areas: selective inference and multiple testing especially in non-standard settings, causal inference and distributional robustness, graphical modeling in the presence of latent variables, and more generally high-dimensional statistics. Feel free to reach out to learn more and to talk about specific research ideas!