Assistant Professor, University of Washington
|UW Box Number||354322|
Armeen Taeb completed his Ph.D. in Electrical Engineering in 2019 at Caltech where he was advised by Venkat Chandrasekaran. He was a Foundations of Data Science postdoctoral fellow at ETH Zurich, mentored by Peter Buehlmann. His research interests lie in the intersection of statistics and optimization. His work 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. He is also interested in exploring the utility of statistical methodologies for real-world applications such as water resource management and medical imaging. His Ph.D. thesis, titled "Latent-variable modeling: inference, algorithms, and applications", received the W.P. Carey & Co. Prize for outstanding dissertation in Applied Mathematics. For his research on developing statistical models for the California reservoir system, he was awarded the Resnick Institute Fellowship for Sustainability Research.