About Me

I am a second year PhD student at the Institute for Data Systems and Society (IDSS) at MIT, advised by Marzyeh Ghassemi. Broadly, my research focuses on questions at the intersection of machine learning, healthcare, and systemic inequity. My current work is driven by two goals: identifying racial and other disparities in healthcare using statistical and causal inference, and investigating novel ways to use machine learning to create more equitable systems.

I am currently interning at Microsoft Research New England, hosted by Allison Koenecke and Lester Mackey. Prior to starting my PhD at MIT, I earned a Bachelor’s in Applied Mathematics at Yale and a Master’s in Data Science at Columbia. I also spent two years working in strategy consulting at Altman Vilandrie & Company.

Outside of work, I’m a huge sports fan, and spend a little too much time watching Liverpool FC and the Boston Celtics. I’ve also recently fallen in love with curling, the perfect way to get through the Boston winter.


Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
AIES, 2022
Hammaad Adam, Ming Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi.
Talk: AIES Talk (forthcoming)
Featured in STAT and MIT News.

Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning
Nature Biotechnology, 2022
H Tomas Rube, Chaitanya Rastogi, Siqian Feng, Judith F Kribelbauer, Allyson Li, Basheer Becerra, Lucas AN Melo, Bach Viet Do, Xiaoting Li, Hammaad Adam, Neel H Shah, Richard S Mann, Harmen J Bussemaker.

Working Papers

Just Following AI Orders: When Unbiased People Are Influenced By Biased AI
Revise and resubmit, Communications Medicine
Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, Marzyeh Ghassemi.

Machine Learning for Demand Estimation in Long Tail Markets
Major revision, Management Science
Hammaad Adam, Pu He, Fanyin Zheng.
Talks: Presented at INFORMS in 2021 and 2020

Fair Organ Allocation Learning
In preparation
Hammaad Adam, Rene Bermea, Leo Anthony Celi, Marzyeh Ghassemi.
Talk: Jameel Clinical Seminar (with Marzyeh Ghassemi)


Curriculum Vitae (updated 7/4/2022)