He is a Co-Founder and Chief Scientist of Celect, which helps retailers decide what to put where by accurately predicting customer choice using omni-channel data. His primary research interest is in developing large-scale machine learning algorithms for massive unstructured data. He has made contributions to development of “gossip” protocols and “message-passing” algorithms which have been pillar of modern distributed data processing systems.