Indrani Bhattacharya

I am a Research Engineer at Stanford University. I work with Dr. Mirabela Rusu and Dr. Geoffrey Sonn in the Laboratory for Integrative Personalized Medicine (PIMed) and the Urologic Cancer Innovation Laboratory. Prior to this, I was a postdoctoral scholar in the Radiology Department at Stanford University School of Medicine. My current research focus is on the development of multimodal machine-learning models that learn from resource-rich imaging modalities to enable cancer detection and aggressiveness classification on resource-poor non-invasive imaging alone.  

I completed my Ph.D. from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI), Troy, NY, under the advisement of Dr. Richard J. Radke. My doctoral dissertation was on unobtrusive and multimodal analysis of human behavior in task-based group interactions. 

My research interests are in developing human-centered Artificial Intelligence (AI)-assisted systems that augment human capabilities, and assist them in a wide variety of tasks, ranging from social signal processing to e-commerce to precision medicine. My research specifically investigates how to seamlessly integrate and learn from complementary multimodal data acquired from different sensors, with the goal of improving AI performance in specific application domains. As such, my research is highly interdisciplinary and leverages technical knowledge from machine learning, computer vision, image, and signal processing, as well as specific domain knowledge from social science and medicine. Although vastly different in application domains, my interdisciplinary research experiences have proven time and again that technical concepts translate from one application domain to another, and 

often lead to the generation of new knowledge.