Monica Agrawal

I am a final year PhD student at MIT CSAIL, advised by David Sontag in the Clinical Machine Learning group.

In my research, I tackle various challenges within clinical natural language processing, including:

• Clinical entity recognition
• Extraction from longitudinal clinical notes
• Creation of smarter electronic health records
• Large language models for clinical text

Previously, I earned a BS and MS in Computer Science at Stanford. While there, I researched in the SNAP Group under Jure Leskovec and Marinka Zitnik, where I used biological networks to predict disease-gene associations and polypharmacy side effects. I've also had internship stints at Google (2015, 2017) and Flatiron Health (2016, 2018).

I am passionate about issues surrounding diversity in computer science. I served as an officer for GW6 (Graduate Women in Course 6 at MIT), as a member of the Diversity, Equity, and Inclusion (DEI) subcommittee of the Dean of Engineering's graduate advisory committee, and as the graduate student representative on the School of Engineering DEI committee.

Teaching Experience

Classes

• In Spring 2020, I was a Course Assistant for 6.871/HST.956: Machine Learning for Healthcare, instructed by David Sontag and Peter Szolovits.
• In Winter 2017, I was a Course Assistant for CS 124: From Languages to Information, an introductory NLP course taught by Dan Jurafsky at Stanford.
• From Fall 2014 to Spring 2016, I tutored Linear Algebra, Multivariable Calculus, and Differential Equations through the Stanford Math Department.

Mentorship

I have had the pleasure of mentoring the following junior researchers:

• Sharon Jiang, Undergraduate, 2021-
• Jason Zhao, Undergraduate, 2020-2021
• Ariel Levy, Undergraduate, 2019-2020
• Divya Gopinath, Master's, 2019-2020