Piyush Rai I'm an associate professor in Computer Science & Engineering at Indian Institute of Technology, Kanpur and a visiting faculty researcher at Google Research India. Before this (reverse chronologically), I was a research faculty in Electrical and Computer Engineering, at Duke University, a post-doctoral fellow in Statistics and Computer Science at UT Austin, and a Ph.D. student in School of Computing at University of Utah. I work in the area of machine learning and Bayesian statistics. My research is primarily on probabilistic modeling of massive and complex data. I focus on designing probabilistic latent variable models and efficient optimization/inference algorithms that can learn compact and interpretable latent structures and feature representations from such data, and leveraging these to better understand/summarize the data and make better predictions/decisions.

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