Deepak Agarwal

Deepak Agarwal has worked as a big data analyst, specializing in web application relevance and machine learning, and directing scientific research on complex data problems in systems and computational advertising.

He has a Ph.D in Statistics from the University of Connecticut under the guidance of Professor Alan Gelfand.

Agarwal has held the following positions over the years: Senior Research Assistant at AT&T and Yahoo; Director of Research and Principal Research Assistant at Yahoo. Then he went to work at LinkedIn where he was the Director of Engineering before being promoted to Senior Director of Engineering. At the same time he took on the position of member of the Board of Directors at SIGKDD. He held a role AT&T Research’s statistics department and thereafter a Senior Research Scientist for Yahoo!

In 2001, Agarwal received the award for Best Research Paper from Joint Statistical Meetings. This was given in recognition of his thesis work in patterns of Madagascar deforestation patterns through a two-stage spatial regression model. Three years later he won an award for having the Best Applications Paper at Siam Data Mining. He received this for the Bayesian modeling work he undertook on large sparse social networks via stochastic blockmodels. In 2008 he won the award for the Best Research Paper at KDD for his proposition of a general class of models for large sparse dyadic data.