I will be joining the Department of Computer Science at ETH Zurich as a tenure-track assistant professor, starting Fall 2020. I will spend the intervening year as a research assistant professor at TTI Chicago. 

I am looking for motivated PhD students at the intersection of Natural Language Processing and Machine Learning to join my research group in ETH Zurich.

My interests are in building novel machine learning models for natural language processing, knowledge discovery and reasoning. Specifically, I focus on machine reading -- on building background knowledge of the world by extracting knowledge from text and incorporating the extracted background knowledge to solve problems that require reasoning. You can view my publications to get a more definitive idea of my work.

I obtained my PhD from the Machine Learning Department at Carnegie Mellon University. I spent my undergraduate years at Indian Institute of Technology (IIT), Kanpur. I also have some industry experience - I worked with the Information Management team at IBM Research India and have spent fantastic summers with the Machine Learning Group at Microsoft Research, Redmond and with the Euclid team at the Allen Institute of AI. During my PhD, I was fortunate to be supported by a number of fellowships: CMLH Fellowship (2017-18), IBM Fellowship (2016-17), Siebel Scholarship (2013-14) and Facebook Fellowship (finalist 2014-15). I regularly review for top ML and NLP conferences. I co-presented a tutorial titled "Standardized Tests as Benchmarks for AI?" at EMNLP 2018. You can find the slides here.

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.