Deepayan is an Associate Professor in the IROM department at the McCombs School of Business, University of Texas, Austin.
He 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 University of Texas, Austin in 2014.
He has authored around 60 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
Google Scholar profile.
Amazon Scholar since November, 2022.
Trammell/CBA Foundation Teaching Award for Assistant Professors (2021-2022) granted by the McCombs School of Business.
Faculty of the Year award (2020) for "excellence in teaching and outstanding contributions to the MSBA Program."
Our KDD 2006 paper is a Classic Paper in Data Mining and Analysis, according to Google Scholar.
Our PKDD 2005 paper
received the 10 year test-of-time prize at ECML/PKDD 2015.
I received the McCombs Research Excellence Grant (2014).
Our COLT 2010 work received
the best student paper award.
Our R-MAT work is the basis for the new
I was selected as a Siebel Scholar, 2002
- Senior PC on KDD (2010 and 2014) and WSDM (2016) research tracks.
- Posters chair for WWW 2010.
- PC member and reviewer on several
conferences and journals, including KDD, WWW, ICML, SIGMOD, VLDB,
- Served on three NSF Panels.
- Local arrangements co-chair for KDD 2007.
- Student member of CMU departmental Ph.D. admissions committee for