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Shalmali Joshi is an Assistant Professor at the Vagelos College of Physicians and Surgeons, Columbia University, and a leader of the reAIM lab at the Data Science Institute. She completed her PhD in Electrical and Computer Engineering at the University of Texas at Austin. Her research interests lie at the intersection of artificial intelligence and biomedical sciences, where she focuses on the design of AI and machine learning systems to enhance scientific inference and predictive capabilities. Her work addresses critical challenges in generalizability, reliability, and robustness of these systems. Joshi develops methods that encompass deep learning, reinforcement learning, observational causal inference, and probabilistic modeling to solve complex problems in biomedical informatics.
Columbia University • New York, NY
Leading the reAIM lab and conducting research in biomedical informatics.
Harvard University Vector Institute • Cambridge, MA
Focus on AI and informatics in biomedical contexts.
Department of Anthropology (GSAS)