Deepayan received his M.S. and Ph.D. in Computational and Statistical Learning from Carnegie Mellon University in 2005, after a B.Tech. in Computer Science from IIT Kanpur in 2000. He subsequently worked at Yahoo! Research and Facebook (Ads and Data Science), before joining the McCombs School of Business at the University of Texas, Austin as an Assistant Professor in 2014. He has authored about 40 peer-reviewed publications, 20 patents, 3 book chapters, and 1 book, and has offered tutorials on the statistical and algorithmic aspects of computational advertising at several venues. He works on a broad range of problems in machine learning, including large graph mining, recommendation systems, computational advertising, search and information retrieval.

More details may be found in my resume and my Google Scholar profile.