Nitish Gupta


Second Year PhD Student,
Department of Computer Science,
University of Illinois Urbana-Champaign


Research Interests: Large-Scale Neural Models for NLP, especially Information Extraction

About Me

I'm a Second Year PhD Student in Computer Science at University of Illinois Urbana-Champaign. I feel honored to be working under the supervision of Prof. Dan Roth in the Cognitive Computation Group (CCG). I am also advised by Prof. Sameer Singh, UC Irvine.

I first had the privilege of working with Sameer on Collectively Embedding Multi-Relational Data. We were awarded the Grand Prize in the Yelp Dataset Challenge for our entry.

I interned at Google Research and Machine Intelligence, MTV in Summer 2016 as a PhD Research Intern. I worked on developing neural models for understanding various aspects of user-generated text.

As an undergrad, I have had multiple internship opprtunities which helped me experience different areas in Computer Science. I interned at the University of Washington, Seattle in Summer 2014, working on large scale agent-based models for studying opinion dynamics in social networks with Prof. Vikram Jandhyala. I interned at Ultrasound Research, Philips, Bangalore in summer 2013, where I worked with Srinivas Kudavelly on image segmentation for breast cancer lesions in color elastography images. In summer 2012, I worked with Prof. Kurt Mehlhorn in the Algorithms and Complexity Group at the Max Planck Institute for Informatics, Saarbrucken, Germany on multi-way cuts for edge weighted graphs.

My research interests broadly lie in the field of Natural Language Processing and Machine Learning. I am particularly interested in large-scale neural models for information extraction, natural language generation, relational learning etc.
I am interested in unified models for representation, reasoning and inference over structured knowledge bases and unstructured plain text.