معرفی
Shalmali Joshi serves as Assistant Professor of Biomedical Informatics at Columbia University's Vagelos College of Physicians and Surgeons, where she leads the reAIM lab. She holds verified membership in Columbia's Data Science Institute (DSI) and maintains affiliated memberships with the Foundations of Data Science Center, Health Analytics Center, and Education Center.
Her educational trajectory includes a PhD in Electrical and Computer Engineering from the University of Texas at Austin, followed by postdoctoral training at Harvard University and the Vector Institute.
Dr. Joshi's research program focuses on developing AI/ML systems that enhance scientific inference and predictive capabilities in biomedical contexts, specifically targeting challenges of generalizability, reliability, and robustness. Her methodological toolkit spans deep learning, reinforcement learning, observational causal inference, and probabilistic modeling to address critical gaps in biomedical data science.
She maintains significant cross-disciplinary affiliations with Columbia's SNF Center for Precision Psychiatry and Mental Health and Computer Science department, facilitating collaborative approaches to complex biomedical problems through her reAIM lab.
