Saumyadipta Pyne

Saumyadipta Pyne is an Adjunct Professor at the University of California, Santa Barbara (UCSB), affiliated with the Department of Statistics and Applied Probability. His research focuses on computational statistics, machine learning, and data fusion with applications in biomedical informatics, public health, and environmental science. Pyne has held significant roles, including PC Mahalanobis Chair Professor and Head of Bioinformatics at the CR Rao Advanced Institute, and served as Scientific Director of the Public Health Dynamics Lab at the University of Pittsburgh.

He leads the HEED-lab within the Health Analytics Network and has extensive international collaborations in Australia, Canada, India, the UK, and beyond. Pyne's work emphasizes modeling population heterogeneity, spatial complexity, and rare event prediction in domains like environmental health, disease surveillance, and public policy.

His recent publications (2021–2022) highlight interdisciplinary contributions in pandemic forecasting (e.g., AICov framework for COVID-19), environmental extreme event analysis, and precision medicine applications. He holds prestigious awards including the Ramalingaswami Fellowship and NIH Senior Research Fellowship.

Editorial roles include the International Journal of Environmental Research and Public Health, Japanese Journal of Statistics and Data Science, and Statistics and Applications. His research bridges statistical theory with real-world challenges in health, environment, and policy.