Organizers

Nandita is an ML Researcher at Apple. She is an alumnus of the Stanford EE 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 a 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.

Avisha is a Research Fellow at Arizona Advanced AI & Innovation (A3I) Hub, Mayo Clinic Arizona. Her research interests lie in Large Language Modeling, focusing on natural language generation and understanding. At the Mayo Clinic, she is working on Privacy Concerns and Mitigation of LLMs in biomedical and healthcare domain.

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, NLP to support data curation for state and national cancer registry, and Fair AI model development using computational debiasing.