PhD candidate
University of South Carolina, Department of Epidemiology and Biostatistics, South Carolina, United States
Chris Lee is a Ph.D. candidate in the Department of Computer Science at the University of South Carolina. His research focuses on the intersection of artificial intelligence, computer vision, and public health applications. He develops deep learning and image-processing algorithms for environmental surveillance, including automated mosquito identification and vector habitat mapping. His work integrates advanced computational modeling with geospatial data to support decision-making in vector-borne disease control. Chris collaborates closely with interdisciplinary teams across epidemiology, data science, and remote sensing to translate machine learning innovations into scalable public health tools.
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274 - Climate Change and Mosquito Threats: Strategies for Modern Public Protection
Thursday, March 26, 2026
1:45 PM - 1:55 PM PDT