Summary
Chunwei Ma is a Research Statistician Developer with a Ph.D. in Computer Science and a decade of experience applying deep learning, computational geometry, and bioinformatics to biomedical problems. His work spans few-shot, continual, and federated learning, uncertainty quantification, and high-dimensional geometric methods that improve data efficiency and robustness in medical imaging and proteomics. He has translated research into practice at JMP and SAS and produced first-author publications at MICCAI, UAI, ICLR, Analytical Chemistry, and BMC Bioinformatics. At BGI he advanced peptide detectability and retention time prediction with deep transfer learning, and at UB he developed geometry-driven techniques for uncertainty-aware models. Chunwei blends rigorous academic research with practical tool development and has contributed code accompanying peer-reviewed work on low-data drug discovery. Based in the Raleigh-Durham-Chapel Hill area, he brings a rare combination of analytical chemistry domain knowledge and scalable AI expertise.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Biomedical/Medical Engineering, Bachelor of Science - BS, Biomedical/Medical Engineering at Southeast University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo