Student
University of North Carolina at Charlotte, North Carolina, United States
Yunfei (Eric) Liao, Ph.D. Candidate
Research Assistant, University of North Carolina at Charlotte
Yunfei (Eric) Liao is a Ph.D. candidate in Bioinformatics at the University of North Carolina at Charlotte (UNCC) and a Research Assistant in the Elizabeth Cooper Lab. His research focuses on computational epidemiology, population genetics, and environmental data analysis, with a particular emphasis on predicting West Nile Virus outbreaks. Eric has spearheaded interdisciplinary projects integrating meteorological, ecological, and genomic data, leveraging machine learning and statistical modeling to uncover novel insights. His expertise spans data engineering, classical and deep learning approaches, and cloud-based computational frameworks. Prior to his Ph.D., he earned an M.S. in Information Technology from UNCC and an M.Eng. in Materials Processing from Nanchang Hangkong University. Beyond research, Eric has extensive experience in software development, ELT pipeline automation, and large-scale data visualization. His work has been published in Genome Biology and Evolution, Metabolites, and Analytical Chemistry.
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Applying Machine Learning Models to Predict West Nile Virus Outbreaks in California and the U.S.
Wednesday, March 5, 2025
2:55 PM – 3:05 PM AST
Climate Adaptation and Genetic Differentiation in the Mosquito Species Culex tarsalis
Wednesday, March 5, 2025
3:05 PM – 3:15 PM AST