Sharmistha Swain

Sharmistha Swain, Ph.D. is an Adjunct Professor of Quantitative Management at the Greehey School of Business, St. Mary's University, teaching courses in Applied Business Analytics and Data Storytelling with Visual Analytics. Her research focuses on statistical computing, location analytics, and satellite image analytics for climate and insurance risk modeling.

• Education: Ph.D. in Geographic Information Systems (University of Nebraska-Lincoln), Ph.D. in Natural Resource Management, M.Sc. in Regional and Rural Development Planning (Asian Institute of Technology), Certificate in Business Analytics (Northwestern University)

Research Interests: Swain integrates advanced statistical modeling and machine learning to analyze climate impacts on health, agriculture, and public policy. Her work addresses drought monitoring, vegetation stress assessment, and predictive analytics for government agencies like the Environmental Protection Agency and United States Department of Agriculture-Risk Management Agency.

Scientific Contributions: Her publications span climate-informed public health, drought response systems, and remote sensing applications. Key trends include interdisciplinary approaches combining geospatial data with socioeconomic and ecological analysis to address climate adaptation challenges.