I co-presented a tutorial: "Standardized Tests as Benchmarks for AI" with Minjoon Seo, Hannaneh Hajishirzi and Eric P. Xing at EMNLP 2018. You can find the slides here.
Hi! I am a PhD candidate in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. Eric Xing is my fantastic adviser. My research is in the interface of machine learning, natural language processing, knowledge discovery and reasoning (inference). Specifically, I focus on machine reading -- on building background knowledge of the world by extracting knowledge from text and incorporating the extracted background (domain) knowledge to solve problems that require complex reasoning. You can view my publications to get a more definitive idea of my work.
I spent my undergraduate years at Indian Institute of Technology (IIT), Kanpur, where I graduated with a B.Tech. in Computer Science and Engineering. I worked with the Information Management group at IBM Research India from 2010-12. I spent a fantastic summer in 2014 at the Machine Learning Group at Microsoft Research, Redmond where I worked on Machine Comprehension with Matthew Richardson. This work was selected as one of the outstanding papers at the ACL 2015 conference. I also spent a lovely summer in 2016 at the Allen Institute of AI where I worked with the Euclid team. I am fortunate to be supported by the CMLH Fellowship for the year 2017-18. I was supported by the IBM Fellowship in 2016-17 and the Siebel Scholarship in 2013-14. I was also a finalist for the Facebook Fellowship in 2014-15. I regularly review for top ML and NLP conferences.
Besides my research, I am passionate about sports (particularly football - read soccer ;-) , tennis and squash), socio-tech startups and community service. I like to listen to music (contemporary, instrumental, indian classical, sufi, ghazals, electro, etc.) and travel around the world.