I’m a PhD student in Health Science & Technology (HST) at MIT & Harvard Medical School where I’m co-advised by Zak Kohane and Pete Szolovits. I am working to develop machine learning tools that can enable clinicians by helping them quickly find and interpret abundant patient data. I am currently focusing on developing few-shot methods for the diagnosis of patients with rare genetic diseases in the Undiagnosed Disease Network, but am more broadly interested in research that addresses barriers to clinical deployment (e.g. learning with limited data, human-in-the-loop data annotation and deployment, etc.).
PhD in Medical Engineering & Medical Physics (HST), 2022 (expected)
Massachusetts Institute of Technology
MS in Biomedical Informatics, 2017
BS in Computer Science, 2016