Shadi Momtahen

Bio

Shadi Momtahen holds a BSc and MSc in Computer Science and Engineering, and a Ph.D. in Mechatronic Systems Engineering from Simon Fraser University, where she collaborated with the BC Cancer Agency on deep learning applications for cancer detection and treatment. She previously served as a Postdoctoral Research Fellow in the Department of Medicine at the University of British Columbia, working with the International Collaboration on Repair Discoveries (ICORD) to develop machine learning models for biosensor-based health monitoring.

Currently, Shadi is a Postdoctoral Scholar at the Aghaeepour Lab at Stanford Medicine. Her research focuses on applying deep learning to large-scale medical datasets—including wearable vital signs—to identify clinically relevant patterns and enable predictive, personalized healthcare.

Honors & Awards

• The Young Investigator Award, BC Cancer Agency (2023)
• Research and Innovation Award, BC Cancer Agency (2023)
• Ontario Graduate Scholarship (OGS), Ryerson University (2019)

Stanford Advisors

• Nima Aghaeepour, Postdoctoral Faculty Sponsor