Hammaad is a third year PhD student at the Institute for Data Systems and Society (IDSS) at MIT. His work focuses on questions at the intersection of AI and healthcare equity, and aims to understand how the increased use of machine learning in healthcare can impact existing disparities. He is especially passionate about investigating ways in which we can use AI to create more equitable systems.
Aparna Balagopalan is a third year PhD student in EECS at MIT. Her research broadly focuses on developing fair and robust models by re-evaluating and surfacing assumptions in machine learning-based measurements in socially-relevant contexts like healthcare. Prior to this, she received a Master’s degree from the University of Toronto and a BTech degree from IIT Guwahati. She currently holds an Amazon Doctoral Fellowship from MIT’s Science Hub.