2157 N Northlake Way

Seattle, WA, USA 98103

I am a postdoctoral researcher at Allen Institute of Artificial Intelligence, working with Yejin Choi. My research interests include interpretability and explainability, and the role of structural inductive biases in language learning. I am currently part of the MOSAIC team, where I am exploring dataset artifacts and biases.

I obtained my PhD from Carnegie Mellon University in May 2019, where I was advised by Noah Smith and Chris Dyer. During most of my PhD I was a visiting student at the Paul G. Allen School of Computer Science at University of Washington in Seattle.

Prior to my PhD, I obtained a Masters degree from Columbia University, working with Owen Rambow and Michael Collins. I received my bachelors degree in Computer Science and Engineering from National Institute of Technology, Calicut, India.