Update: Please visit my personal webpage https://sites.google.com/site/abhidas for more information about my research, publications and contact details.
Abhimanyu Das is a Researcher in the Search Labs group at Microsoft Research, Silicon Valley. His research interests span topics in machine learning, data-mining and theoretical computer science. At Microsoft Research, Abhimanyu is currently working on data-mining projects related to large-scale social analytics. Prior to joining Microsoft, he was a Scientist at Yahoo! Labs where he worked on behavioral targeting algorithms for online advertising.
Abhimanyu obtained a PhD in Computer Science from the University of Southern California under the supervision of David Kempe, and a B. Tech in Computer Science from IIT Delhi. His PhD research focused on algorithms for subset selection and sparse approximation. Prior to his PhD, he also spent 8+ years in the industry (as a software architect at Cortina Systems and as a software engineer at Mahi Networks), where he worked on software stacks for networking and embedded systems.
Abhimanyu received the Best Paper Award at the ACM International Conference on Web Search and Data Mining (WSDM) 2014 conference, the Distinguished Paper Award at the International Conference on Machine Learning (ICML) 2011, and the Best Paper Award at IEEE International Conference on Management of Multimedia Networks and Services (MMNS) 2002.