I am a research scientist at MIT Sloan School of Management. My work lies at the intersection of computational and social sciences. Prior to joining MIT, I was a postdoctoral researcher at Department of Psychology at Yale. I received my PhD in Engineering with a minor in Business Intelligence and Analytics. I also worked as a Systems and Software Integration Lead for five years prior to starting my PhD.

My interest includes misinformation, social media, social networks, and cooperation. In particular, I study a) the effect of information bias and automated accounts in social networks, b) the tole of cognitive reflection in shaping behavior on social media and how to fight misinformation and improve the quality of content shared online, and c) how networks shape the origins and dynamics of cognition and behavior.

In my work, I have uniquely integrated analytical/computational models with large scale digital experiments (causal inference) on networks and analysis of large-scale data from real-world network (machine learning & natural language processing) to address pressing social network related issues

Featured research

Our work on investigating the network structure on the emergence of intuitive versus deliberating thinking is now accepted in Nature Communications for publication.

Pre-print: “Globalization and the Rise and Fall of Cognitive Control”

Image result for gerrymandered mind

Our recent work on the effect of information bias and automated accounts in social network is published in Nature: “Information Gerrymandering and Undemocratic Decisions” Nature, Vol 573, pages 117-121 2019.

Featured by Washington Post, Financial Times, and MIT News.

Our new working paper is out: “Understanding and Reducing the Spread of Misinformation Online”.

Read the twitter thread

Featured by the Guardian and Research Digest