Deepak Agarwal is a statistician at Yahoo! who is interested in
developing statistical and machine learning methods to enhance the
performance of large scale recommender systems. Deepak and his
collaborators significantly improved article recommendation on several
Yahoo! websites, most notably on the Yahoo! front page (a 200+%
improvement in click-rates). He also works closely with teams in
computational advertising to deploy elaborate statistical models on
the RightMedia Ad Exchange, yet another large scale recommender
system. He currently serves as associate editor for the Journal of
American Statistical Association (JASA) and IEEE Transaction on
Knowledge discovery and Data Engineering (TKDE). He is also a program
co-chair for KDD 2012.