معرفی
Kenan Li, Ph.D., is an Associate Professor in the Department of Epidemiology and Biostatistics at Saint Louis University’s College for Public Health and Social Justice. He joined SLU in August 2022 and teaches courses such as Statistical Learning, R for Spatial Analysis, and Environmental Determinants of Health. His research bridges data science, GIS, and public health, focusing on spatial computation, environmental exposures, and community resilience.
- Ph.D. in Environmental Sciences, Louisiana State University
- M.S. in Environmental Sciences, Louisiana State University
- B.S. in Environmental Sciences and Applied Mathematics, Nankai University, China
Dr. Li’s research interests lie at the intersection of spatial computation, environmental health, and community resilience. He develops geo-AI frameworks, integrated geo-cyber-infrastructures, and biostatistics algorithms using big data, deep learning, and sensor data. His work emphasizes understanding human-environment interactions, urban sustainability, and health disparities.
His recent publications from 2023 to 2015 reveal a strong trend in spatial modeling of population dynamics, machine learning for environmental exposure analysis, and resilience assessment in vulnerable coastal regions. He has pioneered methods like Dynamic Time Warping Self-Organizing Maps and Wavelet-based Shapelet Discovery to extract meaningful patterns from high-frequency sensor data.
His scientific awards include the Taylor Geospatial Institute Seed Grant (2023), the Saint Louis University 2023 Health Research Grant, and selection for the Scholarly Undergraduate Research Grants and Experiences. He has secured funding from NSF, NIH, USC Keck School of Medicine, and the US Army Corps of Engineers.
Dr. Li has advised and collaborated on numerous research projects, particularly in interdisciplinary teams studying the Mississippi River Delta and urban health interventions. He has been involved in NIH/NIBIB-funded projects and led research on emergency management of trail systems in Los Angeles County.
He is actively involved in building research labs and teams focused on spatial data science and public health analytics, having previously worked at USC’s Spatial Sciences Institute and Population and Public Health Sciences Department.
