Millicent Li

Millicent Li

I'm a first-year PhD student at Northeastern University where I'm advised by Byron Wallace. Broadly, I'm interested in the intersection of natural language processing, human-computer interaction, and healthcare, particularly in domains related to language modeling, intepretability, and the interaction between humans and AI tools. I'm honored to be supported by a Northeastern PhD Fellowship and an NSF GRFP.

In the past, I was an undergraduate at the University of Washington where I worked with Shwetak Patel on ubiquitous computing for healthcare and with Noah Smith on natural language processing.

I have been fortunate to intern at Microsoft Research with Tristan Naumann, working on building biomedical NLP tools.

Prior to starting my PhD, I spent a wonderful year as an AI Resident with Fundmental AI Research (FAIR) at Meta, working with Marjan Ghazvininejad and Mike Lewis and collaborating with Asli Celikyilmaz and Mona Diab on topics related to prompting and pretrained language modeling.

Links: CV | Personal | Places | Photography


April 2022

I was awarded a 2022 NSF Graduate Research Fellowship. Northeastern wrote an article about it here.

August 2021

Started as an AI Resident with Fundamental AI Research (FAIR) at Meta in Seattle, working on natural language processing and human-computer interaction research for a year.

May 2021

Started my internship at Microsoft Research working with Tristan Naumann on the intersection of natural language processing and healthcare!

April 2021

Excited to announce that I’ll be starting my PhD in the Khoury College of Computer Sciences at Northeastern University in Boston, fall of 2022. Thanks to everyone who has supported me on this journey thus far!

March 2021

I was awarded an Honorable Mention for the 2021 NSF Graduate Research Fellowship competition.



  1. A Review on Language Models as Knowledge Bases
    Badr AlKhamissi*, Millicent Li*, Asli Celikyilmaz^, Mona Diab^, Marjan Ghazvininejad^
    * denotes equal contribution
    ^ denotes equal supervision


  1. Multi-Channel Facial Photoplethysmography Sensing
    Parker S. Ruth, Jerry Cao, Millicent Li, Jacob E. Sunshine, Edward J. Wang, and Shwetak N. Patel
    In the International Conference of the IEEE Engineering in Medicine Biology Society (EMBC 2020)