معرفی
Chao Huang is an Assistant Professor in the Department of Epidemiology & Biostatistics at the University of Georgia (UGA). He also holds courtesy or affiliate roles at the Institute of Bioinformatics, Owens Institute for Behavioral Research, and Precision One Health Initiative at UGA. Previously, he was affiliated with Florida State University (FSU) in the Department of Statistics and Biomedical Sciences. His research focuses on statistical learning methods for large-scale biomedical data, including clinical, imaging, and genomic datasets. He develops algorithms for analyzing complex data structures like high-dimensional and functional data, with applications in disease progression modeling and clinical trials.
Education: PhD in Biostatistics from the University of North Carolina at Chapel Hill (2019); BS in Applied Mathematics from Southeast University, China (2008).
Research interests include manifold data analysis, functional data analysis, imaging heterogeneity, and deep learning applications in healthcare. He uses public datasets like ADNI, OAI, UK Biobank, and HCP for his studies.
Key achievements include developing tools like FGWAS (for imaging genetics) and MFSDA (for statistical shape analysis). His recent work involves large language models for bioinformatics and Alzheimer's disease research. He has advised multiple PhD students, many of whom have received prestigious awards.
Awards include the Ermine M. Owenby Travel Award, Ralph A. Bradley Best Dissertation Award, and multiple student paper awards. He has authored/co-authored numerous papers in top journals like Statistics in Medicine and Communications in Statistics.
Labs/Initiatives: Leads research in statistical methods for biomedical data integration, collaborating across UGA's College of Veterinary Medicine and College of Public Health. Teaches graduate courses in statistical inference and advanced biostatistics.
