Shalmali D Joshi, PhD

Dr. Shalmali Joshi is an assistant professor of biomedical informatics at Columbia University. Previously, she was a postdoctoral fellow at the Center for Research on Computation and Society at Harvard University, as well as a postdoctoral fellow at the Vector Institute.

Dr. Joshi's research is focused on the algorithmic safety of machine learning (ML) for human-centered domains. She has contributed to the field of explainability, robustness, and novel algorithms for ML safety with an emphasis on practical generative settings and impact on decision-making. Dr. Joshi has published in ML and interdisciplinary venues in healthcare such as NeurIPS, FAccT, CHIL, MLHC, PMLR, and perspectives in JAMIA, LDH, and Nature Medicine. She co-founded the Fair ML for Health NeurIPS workshop and served as general chair for ML4H 2022, and program chair for MLHC 2022. Dr. Joshi received her PhD from the University of Texas at Austin.