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Subendhu Rongali

Graduate Student in CS

University of Massachusetts Amherst

Biography

I am a third year graduate student in the College of Information and Computer Sciences, UMass Amherst. I work with Prof. Hong Yu on safe and interpretable machine learning in healthcare. I’m also interested in general natural language processing applications and speech/conversational AI.

My current project with Prof. Yu is on reliable and interpretable prediction of critical patient events like mortality, re-admission, bleeding, and heart failure, using electronic health records. Our latest work in this project will be published in the Journal of Medical Internet Research (JMIR) in 2020.

I interned at Amazon Alexa AI in the summer of 2019, and will return for the summer of 2020. At Amazon, I worked on improving semantic parsing in Alexa’s NLU engine. Our work is set to be published at the Web Conference (WWW) 2020.

When I’m not working on research, I’m mostly playing on my PS4. I also enjoy running, climbing, and football.

Interests

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

Education

  • B.Tech in Computer Science and Engineering, 2014

    Indian Institute of Technology Madras

Work Experience

 
 
 
 
 

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

Teaching

Software Engineering, COMPSCI 320

Programming Methodology, COMPSCI 220

Artificial Intelligence, COMPSCI 383

Projects

Machine Learning in Healthcare

This is an ongoing project and my primary area of work. We are working on a number of ML and NLP applications in healthcare. One line …

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 …

Contact

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