Paramveer Dhillon

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.

Contact Info:
77 Massachusetts Avenue
Cambridge, MA, U.S.A