Zhuowen Zhao is a Senior AI/ML Engineer with a decade of experience at the intersection of scientific computing and generative AI, currently building foundational vision models and AlphaFold-driven tools for cryo-electron tomography at the Chan Zuckerberg Biohub. He brings 8+ years of scientific software development in Python, Fortran and C++ and over five years focused on generative models and distributed training techniques, plus hands-on MLOps experience containerizing and deploying production ML workflows. His work at Berkeley Lab included creating a stable-diffusion pipeline augmented with human feedback and Vision Transformer fine-tuning to synthesize realistic scientific images, and he is a core developer of MLExchange for end-to-end ML automation. Comfortable spanning research and production, he combines deep domain knowledge in structural biology with practical system design for scalable training and inference—often translating complex physics and protein modeling needs into deployable ML solutions.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Modeling and Simulation, Doctor of Philosophy (Ph.D.), Computational Modeling and Simulation at Michigan State University
Double hidden layer ANN for slip transfer classification problem
Contributions:2 PRs, 4 pushes, 1 branch in 2 years 9 months
slipanndeep-learningdoublemachine-learning
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