Bio
Indrani Bhattacharya, Ph.D. is an Academic Staff (Research) in the Department of Radiology at Stanford University School of Medicine. Her current research focuses on developing accurate and generalizable machine learning methods for cancer detection and aggressiveness characterization using radiology images.
Dr. Bhattacharya received her Ph.D. and M.S. in Electrical Engineering from Rensselaer Polytechnic Institute (RPI), NY. Her research interests are in machine learning, computer vision, and multimodal data fusion applied to interdisciplinary real-world problems in precision medicine and human-centered computing. Her doctoral as well as postdoctoral research have been highly interdisciplinary, at the intersection of machine learning with social science and medicine respectively. Her doctoral research focused on the development of multi-sensor fusion and multimodal machine learning algorithms for estimating and analyzing human behavior in group interactions. Her postdoctoral research focused on developing multimodal machine learning algorithms leveraging complementary radiology, pathology and clinical data for prostate cancer detection.
Dr. Bhattacharya completed her Bachelor’s in Electrical Engineering from Jadavpur University, India and worked as a Project Engineer in Indian Oil Corporation Limited before transitioning to her graduate education.
Current Role at Stanford
Academic Staff -- Research, working on developing Artificial Intelligence methods that integrate complementary multimodal data for disease detection and aggressiveness characterization.
