Junhao Wang is a Principal Research Scientist with a decade of experience applying computer vision, representation learning, and Bayesian deep learning to medical imaging and clinical AI. Based in Bellevue, he led end-to-end development of an FDA-cleared cmAngio device for breast arterial calcification, combining algorithm design, large-scale training pipelines and clinical-grade statistical validation. He has deep expertise in multi-GPU training (DeepSpeed, ZeRO), PEFT/LoRA for clinical report extraction, and production collaboration to move models from research into regulated deployment. Earlier work spans 3D convolutional autoencoders, attention-based models for histopathology (patented at Sanofi), and ML education at Columbia, reflecting both research rigor and teaching ability. Junhao pairs probabilistic/statistical foundations from UC San Diego with hands-on engineering to bridge model uncertainty and real-world safety requirements. He is notable for integrating advanced distributed training and parameter-sharding techniques into clinically audited ML products.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Master of Science Data Science, Master of Science Data Science at Columbia University
Contributions:3 PRs, 38 pushes, 2 branches in 2 months
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Junhao Wang - Principal Research Scientist at CureMetrix