Photo by Biyue Pan
Department of Statistics, University of Washington
Email: ataeb@uw.edu
CV (updated October 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.
Funding: I am grateful for support by the National Science Foundation with grant DMS-2413074 (PI) and by the Royalty Research Fund at the University of Washington (PI).
PhD students: I am currently looking for highly motivated PhD students. 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!
Service for new researchers: I am passionate about giving young researchers in data science a platform to grow as researchers and individuals. Together with Yuan Jiang and Pragya Sur, I organized the 2024 IMS New Researcher Conference. I am now serving as the president of the IMS New Researcher Group. If you have any suggestions for how to help young researchers, please do not hesitate to email me!