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Fuyong Xing, Ph.D. Principal InvestigatorFuyong Xing is an Associate Professor in the Department of Biostatistics and Informatics at Colorado School of Public Health, University of Colorado Denver | Anschutz Medical Campus. He received his Ph.D. in Electrical and Computer Engineering at University of Florida, M.S. from Rutgers University-New Brunswick and bachelor's degree from Xi'an Jiaotong University. His research focuses on artificial intelligence and machine/deep learning for healthcare, particularly for biomedical image computing and imaging informatics. He also works on high performance computing for biomedical informatics. |
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Xinyi Yang, M.S. (Ph.D. Candidate) Research AssistantXinyi Yang is a Ph.D. student and a research assistant in the Department of Biostatistics and Informatics, CSPH. She previously worked on multimodal image analysis (functional magnetic resonance imaging and diffusion tensor imaging) and magnetoencephalography data analysis. She is currently working on biomedical image computing and deep learning with Dr. Fuyong Xing. |
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Alumni
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Xuhong Zhang, Ph.D. Postdoctoral FellowXuhong Zhang is a postdoctoral researcher in the Department of Biostatistics and Informatics and is working with Dr. Fuyong Xing and Dr. Debashis Ghosh. Her research focuses on medical image computing and machine/deep learning. Her research projects involve the development and application of mathematical, computational, and statistical techniques to theoretical and methodological problems within the areas of biological statistic analysis, quantitative methodology, and biomedical image analysis. Next stop: Assistant Professor in Indiana University Bloomington |
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Theodore J. Warsavage, M.S. Candidate Research AssistantTheodore Warsavage is an M.S. candidate and a research assistant in the Department of Biostatistics and Informatics and the VA hospital. He works on biostatistics and deep learning with Dr. Fuyong Xing and Dr. Debashis Ghosh. His previous work has included applications of machine learning and ensemble methods to high dimensional clinical data for outcome predictions and causal applications in observational studies. Currently He is working on deep learning with clinical imaging data, especially lung nodule detection. When he has free time, he enjoys cycling, hiking and fly fishing. Graduated in 2020 |