Jamie Li is a Postdoctoral Researcher at Stanford University. She received his Ph.D. in Computer Science from The University of Tulsa and holds dual master’s degrees in Applied Economics & Finance and Accounting from University of California, Santa Cruz. Her research focuses on machine learning modeling and data-driven interventions for major depressive disorder, integrating clinical data, brain imaging, and aging-related measurements to develop approaches for early prediction and precision intervention. At Stanford, she has also participated in wearable-device experimental research and diabetes-related product development. Jamie is the recipient of the Chapman Distinguished Doctoral Fellowship and serves as Vice Chair of the Society of Petroleum Engineers Data Science Challenge. She has contributed to multiple interdisciplinary collaborations spanning computer science, neuroscience, fluid mechanics, and financial forecasting.