Karthik Subbian is a research scientist at Facebook. Prior to Facebook, he was working at IBM T.J. Watson research center in the Business Analytics and Mathematical Sciences division and has more than 10 years of industry experience. He primarily works on research problems in the areas of machine learning, data mining, and large scale network analysis. More specifically, on semi-supervised and supervised learning in networks, rank aggregation, personalization and recommendation, influence analysis, information flow analysis, link prediction, community detection, and network inference. His prior work includes, Nash bargaining approaches for bid optimization in sponsored search auction and design of incentive compatible mechanisms. He holds a masters degree from the Indian Institute of Science (IISc) and a PhD from the University of Minnesota, both in computer science. Karthik has won numerous prestigious awards, including the IBM PhD fellowship, best paper award at Siam Data Mining (SDM) conference 2013 and Informs Edelman laureate award 2013.