I am a Postdoctoral Associate at the MIT Sloan School of
Management and the Initiative on Digital Economy @ MIT sponsored by Prof. Sinan Aral.
My research broadly involves making careful empirical measurements (both
causal and predictive) from big data. In terms of methodology, my work draws on ideas from Computer Science, Marketing, Statistics, Sociology and Applied Econometrics.
I am fascinated by digital technologies and their impact on our lives and economy. So, in one stream of research I am investigating digital transformation of newspapers and their paywall strategy (in partnership with The New York Times and Boston Globe).
In another stream of research, I am working on efficient targeting strategies in social networks (to maximize the size of viral diffusion cascades) and understanding the anatomy of the strategic advantage bestowed on individuals by their social network structure.
I hold an A.M. in Statistics and M.S.E & Ph.D. in Computer &
Information Science (CIS), all from the University of
Pennsylvania. My doctoral dissertation won the Morris & Dorothy Rubinoff Best Dissertation Award. My doctoral work, which was on statistical Machine Learning & Natural Language Processing (NLP), proposed simple linear spectral learning methods that give accuracies comparable to or better than state-of-the-art "deep-learning" algorithms on text data.
My work has been published in top tier journals/conferences. For more details you might want to have a look at my Publication List (Google Scholar Profile) or CV.
77 Massachusetts Avenue
Cambridge, MA, U.S.A
- March 3-5, 2016: Presenting our work "Digital Paywall Design" at the Winter Conference on Business Intelligence (WCBI) 2016 @ Snowbird, UT.
- Nov 2, 2015: Giving an invited talk on "Influence Maximization Revisited" at Social Media Analytics Session @ INFORMS 2015.
- Oct 16-17, 2015: Presenting our work "Digital Paywall Design" at the Conference on Digital Experimentation (CODE) 2015 @ MIT.
- Oct 2-3, 2015: Presenting our paper "Influence
Maximization Revisited" at the Workshop on Information in Networks (WIN) 2015 @ NYU.
- June 18-20, 2015: Presenting a paper entitled "All you need is
'R': Estimating the Pareto/NBD model using only recency data" at the Marketing
Science Conference @ Baltimore, MD.
- June 5, 2015: Co-organizing a workshop on Vector Space Modeling for NLP
at the NAACL-HLT 2015.
- May 5, 2015: Giving a invited talk entited "Spectral Word
Embeddings" on our work on word embeddings @ CSAIL, MIT.
- May 1-3, 2015: Presenting a paper entitled "Influence
Maximization Revisited" at the Information
Transmission in Networks Conference @ Harvard University.
- April 15, 2015: Our paper Eigenwords: Spectral Word
Embeddings got accepted at the JMLR (Journal of Machine Learning
- April 9, 2015: Awarded the Morris & Dorothy Rubinoff
Best Dissertation Award by Penn CIS Department.