I am a tenure-track Assistant Professor in the Department of Biomedical Data Science and the Center for Precision Health and Artificial Intelligence (CPHAI) at Dartmouth. I completed my bachelor’s in Electrical Engineering from Jadavpur University, India, and my M.S. and Ph.D. from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, NY (PhD Thesis Adviser: Dr. Richard J. Radke). Thereafter, I joined the Department of Radiology (Division of Integrative Biomedical Imaging Informatics) at Stanford University School of Medicine, CA, as a postdoctoral scholar and continued on as an academic research staff (Postdoctoral Mentors: Dr. Mirabela Rusu and Dr. Geoffrey Sonn).
My research interests are in developing translational imaging-based Artificial Intelligence (AI)-assisted systems for healthcare applications. I am specifically interested in investigating how to seamlessly integrate and learn from complementary multimodal imaging and non-imaging data for developing these systems. At Dartmouth, my research will focus on (a) AI-assisted precision medicine where we will work on developing AI systems to assist clinicians in early disease detection, characterization and treatment planning, and (b) AI-assisted behavioral health where we will investigate how to develop multimodal human behavior estimation algorithms to assess behavioral health disorders and improve doctor-patient interactions.
I am looking to hire motivated undergraduate, graduate, and postdoctoral trainees eager to work at the intersection of medical image analysis, multimodal machine learning, and medicine. The ideal candidate should have some background in programming (Python/C++), machine learning and/or image processing, and mathematical foundations in probability and linear algebra. Interested candidates can email me at [email protected] or [email protected]
I am looking to hire motivated undergraduate, graduate, and postdoctoral trainees eager to work at the intersection of medical image analysis, multimodal machine learning, and medicine. The ideal candidate should have some background in programming (Python/C++), machine learning and/or image processing, and mathematical foundations in probability and linear algebra. Interested candidates can email me at [email protected] or [email protected]