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.
|Oct 17, 2019||Invited talk at the UW Linguistics Colloquium on Oct 18, 2019.|
|Oct 2, 2019||Got selected to attend the Rising Stars in EECS workshop at the University of Illinois at Urbana-Champaign from Oct 29 - Nov 1, 2019.|
|Sep 25, 2019||Submitted our latest paper to ICLR 2020.|
|Aug 13, 2019||Joined AI2 as a Postdoctoral Young Investigator.|
|Jun 2, 2019||Presented our tutorial on Transfer Learning in Natural Language Processing at NAACL 2019 in Minnesota.|