CV
I am a PhD student in Social & Engineering Systems and Statistics at MIT working in the Clinical Machine Learning group led by David Sontag. My current research focuses on Human-AI collaboration, namely how to integrate machine learning (ML) tools in existing decision making pipelines. I have studied how to introduce an ML classifier to reduce the load on expert decision makers through the action of deferral and how to teach users of ML systems when to rely and when not to rely on an AI model. My work also aims to ensure fairness and an understanding of long-term consequences when deploying ML models.

I received my undergraduate degree in computer engineering from the American University of Beirut in 2019. In the summer of 2021 I was a resarch intern at ASAPP working with Ethan Elenberg and Ramya Ramakrishnan on learning human's mental models of AI and updating AI models to adapt to their human teammate. In the summer of 2018 I was a visiting student/intern at TTIC working with Mesrob Ohannessian and Nathan Srebro on the long term effects of fair decision making.




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