Abhimanyu Das                                        

                          

Email: {first four characters of my first name followed by dot followed by my last name}@gmail.com

I am a Research Scientist at Google. My research interests span topics in machine learning, data-mining and theoretical computer science. Prior to Google, I was a Researcher at Microsoft Research (where I worked on data-mining for large-scale social analytics) and a Scientist at Yahoo! Labs (focusing on behavioral targeting algorithms for online advertising).

I 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. My PhD research focused on algorithms for subset selection and sparse approximation. Prior to my PhD, I also spent several years in the industry (as a software architect at Cortina Systems, and as a software engineer at Mahi Networks), where I worked on software stacks for networking and embedded systems.

I received the Best Paper Award at the ACM Conference on Web Search and Data Mining (WSDM) 2014, the Distinguished Paper Award at the International Conference on Machine Learning (ICML) 2011, and the Best Paper Award at IEEE Conference on Management of Multimedia Networks and Services (MMNS) 2002.

Selected Publications (full list on DBLP):
  • Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy: "Minimizing Latency in Online Ride and Delivery Services", WWW 2018
  • Flavio Chierichetti, Abhimanyu Das, Anirban Dasgupta, Ravi Kumar: “Approximate Modularity”, FOCS 2015
  • Abhimanyu Das, Anitha Kannan, “Discovering Topical Aspects in Microblogs”, COLING 2014
  • Abhimanyu Das, Sreenivas Gollapudi, Arindam Khan, Renato Paes Leme, “Identifying Conformity in Social Networks”, ACM COSN 2014 
  • James Cook, Abhimanyu Das, Krishnaram Kenthapadi, Nina Mishra, “Ranking Twitter Discussion Groups”, ACM COSN 2014 
  • Abhimanyu Das, Sreenivas Gollapudi, Kamesh Munagala, “Modeling Opinion Dynamics in Social Networks”, WSDM 2014. 
  • Amr Ahmed, Abhimanyu Das, Alexander Smola, “Hierarchical multitask learning: scalable algorithms and applications in display advertising”, WSDM 2014 (best paper award). 
  • Abhimanyu Das, Sreenivas Gollapudi, Rina Panigrahy, Mahyar Salek, “Debiasing Social Wisdom”, KDD 2013. 
  • Amr Ahmed, Abhimanyu Das, Mohammed Aly, Tasos Anastasakos, Alex Smola, “Terascale Multi-task Feature Selection for Behavioral Targeting and Advertising”, CIKM 2012. 
  • Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay Narayanan, “Factoring Past Exposure in Display Advertising Targeting”, KDD 2012. 
  • Abhimanyu Das, Anirban Dasgupta, Ravi Kumar, “Selecting Diverse Features using Spectral Regularization”, NIPS 2012 
  • Abhimanyu Das, David Kempe: "Submodular meets Spectral – Greedy Algorithms for Subset Selection and Sparse Approximation ", ICML 2011 (distinguished paper award)
  • Abhimanyu Das, David Kempe: "Estimating the Average of a Lipschitz-Continuous Function from One Sample", ESA 2010
  • Abhimanyu Das, David Kempe: "Algorithms for Subset Selection in Linear Regression, ACM Symposium on Theory of Computing, STOC 2008