Assistant Professor at Radboud University Medical Center (Radboudumc)
Randstad, Netherlands
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Summary
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Senior
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Top School
Li Xue is an Assistant Professor and computational biologist with a Ph.D. in Bioinformatics and nine years of experience applying machine learning and deep learning to molecular problems. She focuses on QSAR modeling, macromolecular binding site prediction, T cell epitope prediction, and using partner-specific interface predictions to improve docking rank orderings. Comfortable in research and production tools—PyTorch, MATLAB, R, SAS, Perl, and Linux—she bridges statistical rigor (minor in Statistics) with practical algorithm development. Her academic path includes VENI-funded postdoctoral work in computational structural biology at Utrecht and faculty roles at Radboudumc and Utrecht University. Early industry internships in computational immunology and MATLAB reinforced her applied perspective, and her cross-disciplinary background (pattern recognition MS, electrical engineering BS) helps her translate engineering principles into biological insights. Colleagues describe her work as technically deep yet oriented toward actionable predictions that improve molecular modeling workflows.
10 years of coding experience
bachelor, Department of electrical and electronic engineering, bachelor, Department of electrical and electronic engineering at Yan Shan University
Ph.D, Bioinformatics and Computational Biology program, Ph.D, Bioinformatics and Computational Biology program at Iowa State University
VENI postdoctoral research fellow, computational structural biology, VENI postdoctoral research fellow, computational structural biology at Utrecht University
M.S., Pattern Recognition, M.S., Pattern Recognition at Shanghai Jiao Tong University
Contributions:6 PRs, 20 pushes, 7 branches in 3 years 10 months
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