Armeen Taeb

Armeen Taeb is an Assistant Professor in the Department of Statistics at the University of Washington. Previously, he was a postdoctoral fellow at ETH Zürich under the ETH Foundations of Data Science, mentored by Peter Bühlmann. He earned his PhD in Electrical Engineering at Caltech under Venkat Chandrasekaran's supervision.

Research Interests: His work bridges optimization and statistics, focusing on

• Graphical and latent-variable modeling
• Provably optimal causal model learning
• False positive error control in non-traditional settings
• Domain adaptation
• Applications in physical sciences

Article Trends: His publications span causal inference (2022-2025), graphical models (2017-2025), convex optimization (2018-2025), and statistical robustness (2020). Recent work (2025) addresses extremal graphical modeling and selective inference challenges.

Scientific Awards:

• ETH Zürich Foundations of Data Science Postdoctoral Fellowship (2019-2021)
• Caltech Resnick Institute Fellowship (2016-2018)
• W. P. Carey & Co. Prize for Applied Mathematics (2020)
• Caltech Graduate Fellowship (2013-2014)

Grants: National Science Foundation DMS-2413074 (PI), University of Washington Royalty Research Fund (PI).
Service: President of the Institute of Mathematical Statistics New Researcher Group; co-organized IMS New Researchers Conferences (2024-2025).