I am an Assistant Professor at the Department of Electrical and Computer Engineering at Boston University as of January 2023. From 2016 to the end of 2022, I was an Assistant Professor at the Department of Biomedical Informatics with a secondary appointment at the School of Computing and Information at the University of Pittsburgh. My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical images, genetic data, and other electrical health records, such as clinical reports. The main themes of research in my lab are about the main challenges of AI in healthcare: (1) Explainability, (2) Data Efficiency, (3) Multimodal Data Fusion, and Causality. My lab works on Alzheimer’s, Chronic Obstructive Pulmonary Disease (COPD), and Non-Alcoholic Fatty Liver Disease (NAFLD) projects. Our research is supported by funding from NIH, NSF, and industry awards. I am co-founder of MLxMed, a multi-campus online similar series focusing on ML methods specifically for healthcare applications. I am co-founder of READE.ai, a start-up about the Realtime Evaluation of Adverse Events during surgery.
Previously, I was a post-doc at Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, working with Prof. Polina Golland. I also worked with William (Sandy) M. Wells at the Harvard Medical School. In May 2012, I received my Ph.D. from the Electrical and System Engineering (ESE) Department of the University of Pennsylvania, working with Prof. Ben Taskar. and Prof. Christos Davatzikos.