People

Shankar Kalyanaraman

Data Scientist - Core Data Science

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.

Interests

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

Latest Publications

SIGKDD - August 13, 2021

Preference Amplification in Recommender Systems

Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg

CSCW - February 25, 2017

Understanding Feedback Expectations on Facebook

Nir Grinberg, Shankar Kalyanaraman, Lada Adamic, Mor Naaman