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Purnamrita (Purna) Sarkar joined the University of Texas at Austin in 2014 as an assistant professor. Previously, she was a postdoctoral scholar at the University of California, Berkeley, where she worked jointly in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics. Her research focuses on large-scale statistical machine learning problems, emphasizing statistical models, asymptotic theory, and scalable inference algorithms for large networks. At UT Austin, Sarkar co-leads the NSF TRIPODS (Transdisciplinary Research Principles in Data Science) grant to establish a new institute for Foundations of Data Science.
University of Texas at Austin • Austin, TX
Joined as an assistant professor and later promoted to associate professor, focusing on statistical machine learning.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.