Subendhu Rongali

Graduate Student in CS

University of Massachusetts Amherst


I am a fourth year graduate student in the College of Information and Computer Sciences, UMass Amherst. I work with Prof. Andrew McCallum in the Information Extraction and Synthesis (IESL) Lab. I focus on natural language processing applications, specifically unsupervised learning and information extraction.

Prior to this, I worked with Prof. Hong Yu on safe and interpretable machine learning in healthcare. I’m also interested in speech and conversational AI, an interest I picked up at my two internships at Amazon Alexa AI.

When I’m not working on research, I’m mostly playing on my PS5 or cheering for India in cricket. I also enjoy tennis, climbing, and football.


  • Machine Learning
  • Natural Language Processing
  • Healthcare Informatics
  • Speech/Conversational AI


  • M.S in Computer Science, 2020

    University of Massachusetts Amherst

  • B.Tech in Computer Science and Engineering, 2014

    Indian Institute of Technology Madras


Feb 2021: I presented a poster on my internship work at AAAI 2021.
Dec 2020: I signed my offer letter to go back to Amazon Alexa for my summer internship in 2021.
Dec 2020: My internship work at Alexa in 2020, Exploring Transfer Learning for End-to-End Spoken Language Understanding, was accepted at AAAI 2021.
Sep 2020: Our paper, Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders, was accepted at EMNLP 2020.
Sep 2020: Our paper, Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings, was accepted at EMNLP Findings 2020.
Feb 2020: Our paper, Learning Latent Space Representations to Predict Patient Outcomes, was accepted at JMIR.
Feb 2020: My internship work on improving Alexa commands was featured on Venturebeat.
Jan 2020: My internship work at Alexa in 2019, Don’t Parse, Generate! A Seq to Seq Architecture for Task-Oriented Semantic Parsing, was accepted at WWW 2020.
Nov 2019: I presented a poster about my summer internship work at Amazon Research Day 2019.
Jul 2019: I was awarded the Sudha and Rajesh Jha Scholarship for 2019 at CICS, UMass Amherst.

Work Experience


Applied Scientist Intern

Amazon Alexa AI

May 2020 – Aug 2020 New York City, NY

Applied Scientist Intern

Amazon Alexa AI

May 2019 – Aug 2019 Cambridge, MA

Software Developer

Epic Systems Corp.

Oct 2015 – Aug 2017 Madison, WI

Research Software Engineer

IBM Research

Sep 2014 – Sep 2015 Bangalore, India

Research Intern

Adobe Advanced Technical Labs

May 2013 – Aug 2013 Bangalore, India


Software Engineering, COMPSCI 320

Programming Methodology, COMPSCI 220

Artificial Intelligence, COMPSCI 383


DIORA: An unsupervised tree parser and LM

This is my primary area of work with Prof. Andrew McCallum and Prof. Mohit Iyyer. We are working on improving DIORA (Deep Inside …

Machine Learning in Healthcare

This was my primary area of work with Prof. Hong Yu. We are working on a number of ML and NLP applications in healthcare. One line of …

Evidence Inference in Long Documents

This was my final class project for COMPSCI 692A: Automated Knowledge Base Construction. We tackle the problem of selecting evidence to …

Proof completion in the formal verification language - Coq

Formal verification is an important field in Software Engineering and in Computer Science in general. With increasingly complex …

High Confidence Off-Policy Improvement

This was our final course project for COMPSCI 687: Reinforcement Learning. This project simulates the application of RL to a real …

Gendered Pronoun Coreference Resolution

This was our final course project for COMPSCI 690D: Advanced Natural Language Processing. Coreference resolution is the task of …

Influence Functions in Machine Learning Tasks

This was our final course project for COMPSCI 689: Machine Learning. Machine learning models are generally complex and it is difficult …


  • srongali@cs.umass.edu
  • College of Information and Computer Sciences, 140 Governors Dr, Amherst, MA 01003
  • Second floor, Room 216