Published multiple papers in conferences such as AISTATS 2022, ICML 2025, TMLR 2025, NeurIPS 2021; Received awards like NSF CAREER award, NIH R01 funding; Involved in various research projects, including automating preliminary diagnosis of heart disease, predicting patient risks in the ICU, etc.
Research Experience
Was a postdoctoral fellow at Harvard SEAS, currently an Assistant Professor at Tufts University, leading a lab that focuses on developing new machine learning methods and techniques.
Education
Ph.D. in Computer Science from Brown University, advised by Prof. Erik Sudderth (now at UC-Irvine); Postdoctoral fellow in computer science at Harvard SEAS, advised by Prof. Finale Doshi-Velez.
Background
Research Interests: Statistical machine learning and its applications in healthcare and the sciences. Bio: Assistant Professor in the Dept. of Computer Science at Tufts University, and a primary faculty member for the Tufts Machine Learning research group.