I am a first year Computer Science PhD student at UMass Amherst working with Prof. Andrew McCallum. I have an eclectic academic background involving robotics, software engineering, machine learning and natural language processing. My current research focuses on Machine Learning as applied to Natural Language Processing (NLP) and Knowledge Graphs (KGs). I am broadly interested in (1) exploiting the geometry of non-euclidean spaces to provide better inductive bias to the representation models of natural language and Knowledge Graphs, and in (2) integrating external knowledge sources like Knowledge Graphs, ontologies and hierarchies with deep learning models using end-to-end gradient based learning to create explainable, instructable and data efficient learning machines.
Prior to starting my PhD, I was a master’s student at UMass. During this time I worked as a research intern (2019) at Information Extraction and Synthesis Lab (IESL) and Abridge AI. Prior to starting my master’s program, I worked in a small team at Kenome–a nascent but extremely driven startup founded by Prof. Partha Talukdar–solving challenging problems using Machine Learning and NLP. I have also worked for ~2 years as a software engineer at MathWorks, focusing on developing Simulink and related products. During my undergrad at IIT Madras, I worked with Prof. Bandyopadhyay on problems in Robotics.
|Nov 1, 2020||Happy to announce that I will be starting my Ph.D. in Spring (January) 2021 at UMass Amherst with Prof. Andrew McCallum as my advisor.|
|Oct 1, 2020||Internship work done at Abridge AI is accepted at Clinical NLP workshop 2020.|
|Sep 30, 2020||Paper titled Reading Comprehension as Natural Language Inference: A Semantic Analysis is accepted at *SEM 2020.|
|May 10, 2020||Excited to start research internship at Abridge AI.|
|Jan 15, 2020||Paper titled “Representing Joint Hierarchies using Box Embeddings” is accepted at AKBC 2020.|
- NAACLLooking Beyond Sentence-Level Natural Language Inference for Question Answering and Text SummarizationIn Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2021
- ACLWeakly Supervised Medication Regimen Extraction from Medical ConversationsIn Proceedings of the 3rd Clinical Natural Language Processing Workshop 2020
- AKBCRepresenting Joint Hierarchies with Box EmbeddingsIn Automated Knowledge Base Construction (AKBC) 2020