About Me

MS/PhD in Computer Science at UMass Amherst.

I am an MS/PhD student in Computer Science advised by Prof. Andrew McCallum.  I am a member of Information Extraction and Synthesis Laboratory. I am broadly interested in natural language processing and machine learning. A bit more specifically, I am interested in methods for learning representation of entities, in structured prediction models, and clustering.

I received my bachelors in Computer Science from IIT Delhi in 2017 where I worked with Prof. Amitabha Bagchi and Prof. Subodh Vishnu Sharma. I was a research intern at Big Data Experience Labs, Adobe, Bangalore in Summer 2016 where I worked with Sumit Shekhar.

Updates

  • (Sep'21) Paper on joint clustering for event and entity coreference accepted in Computational Models of Reference, Anaphora and Coreference Workshop at EMNLP 2021.
  • (Summer'21) Interned with team MIDAS, part of Amazon Search, where I worked with Dan Hill, and Inderjit Dhillon on improving query-autocompletion models using extreme multi-label ranking (XMR) and on generative XMR models.
  • (May'21) Paper titled "Session-Aware Query Auto-completion using Extreme Multi-Label Ranking" accepted in KDD 2021.
  • (April'21) Paper on Zero-Shot Biomedical Entity Linking accepted at NAACL 2021.
  • (Summer'20) Interned with team MIDAS, part of Amazon Search, where I worked with Rajat Sen , Dan Hill, Arya Mazumdar, and Inderjit Dhillon.
  • (Jan'20) Paper titled "Stochastic Package Queries in Probabilistic Databases" accepted in SIGMOD 2020.
  • (Dec'19) Passed PhD Portfolio exam!
  • (Jun'19) Implementation of Exponential linkage (proposed in our ICML'19 paper) now available as part of Higra, a C++/Python library for efficient sparse graph analysis with a special focus on hierarchical methods. Thanks to the developers of Higra for adding implemenation of exponential linkage to Higra!
  • (Jun'19) Presented my paper titled "Supervised Hierarchical Clustering with Exponential Linkage" at ICML 2019