Summary
Zhuotun Zhu is a Senior Machine Learning Scientist in the San Francisco Bay Area with over a decade of experience building and deploying medical imaging AI, from research prototypes to product pipelines targeting FDA approval. He holds a PhD in Computer Science from Johns Hopkins and an MS in Statistics from UCLA, blending deep algorithmic rigor with strong statistical foundations. His work includes award-winning contributions in radiomics, volumetric segmentation, and neural architecture search for challenging oncology problems, recognized by PanCAN and MICCAI/NIH honors. At Q Bio he focuses on image post-processing, segmentation, and quantification for clinical use, translating research innovations into production-ready models. Comfortable in both academic and industrial settings (internships at NVIDIA and Microsoft), he brings a rare combination of published research impact and hands-on deployment experience. Offbeat yet humble, his GitHub bio hints at a playful perspective—“God is a coder”—reflecting a curious, creative approach to problem solving.
10 years of coding experience
3 years of employment as a software developer
Johns Hopkins University
Bachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at Huazhong University of Science and Technology
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at University of California, Los Angeles
English, Chinese