About Me
I am an associate professor of Statistics at the University of Texas at Austin . My interests are in the intersection of asymptotic statistics, scalable algorithms and networks. Recently I have been interested in uncertainty estimation for streaming algorithms and resampling methods for networks. I am affiliated with the AI institute and EnCORE: Institute for Emerging CORE Methods of Data Science . My email address is purna.sarkar@austin.utexas.edu.
Previously I was a postdoctoral scholar at the University of California, Berkeley, where I worked on asymptotic theory for network models and the nonparametric bootstrap for big data. I got my PhD from the Machine Learning Department at Carnegie Mellon University. My thesis research has been aimed at analyzing theoretical properties of different proximity measures arising from random walks, and using them for designing fast algorithms. Here is a link to my thesis.
Before joining Carnegie Mellon, I was an undergraduate at the Computer Science and Engineering Department in the Indian Institute of Technology, Kharagpur, where I spent four years.