Shankar Kalyanaraman

Data Scientist

I am the newest (for now) member of the Data Science team. My interests are in computational social science, borrowing techniques from data mining/machine learning to solve problems and tackle challenges in developing countries. Specifically, I have worked in areas concerning disease surveillance and understanding/predicting conflict hotspots based on cellphone usage. I received my PhD in theoretical computer science from Caltech where I worked on problems at the intersection of complexity theory, microeconomics and game theory. Subsequently, I spent a few years in the industry learning how to use Outlook before returning to academia most recently as a postdoctoral research scientist at New York University.


Computational social science, data analytics for developing countries, complexity theory, topic modeling

Latest Publications

Understanding Feedback Expectations on Facebook

Nir Grinberg, Shankar Kalyanaraman, Lada Adamic, Mor Naaman

CSCW - February 25, 2017

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