Organizers

Nandita Bhaskhar is an alumnus of the Stanford Electrical Engineering PhD program where she was advised by Prof. Daniel Rubin. Her research interests lie in representation learning, robust & trustworthy DL, multimodal and time-series research, especially for health applications.

Amara Tariq is Senior Data Science Analyst in the Machine Intelligence in Medicine and Imaging (MI-2) lab at Mayo Clinic Arizona. Her research interests lie in the development of fusion models for multi-modal biomedical data for applications including clinical event prediction and opportunistic screening for diseases.

Imon Banerjee is a lead AI scientist, affiliated with the Mayo Clinic and Arizona State University. Work in the lab focuses on Multimodal fusion of imaging and nonimaging data for clinical diagnosis and prognosis, Natural language processing to support data curation for state and national cancer registry, and Fair AI model development using computational debiasing.