Chao Zhang is a research scientist and data-driven physicist with 8 years of experience applying deep learning and scientific computing to complex, messy datasets. Currently at Meta after completing a PhD at the University of Chicago, he blends rigorous academic methods with production-minded coding to extract clinically relevant insights from large-scale data. His background spans clinical data science, machine learning internships in industry, and high-performance scientific software—skills he uses to turn noisy inputs into clear, actionable conclusions. Known for clear communication and report-writing, he thrives in curious teams where careful experimentation and efficient code deliver measurable impact. An uncommon strength is his ability to bridge domain expertise in physics with practical ML engineering, enabling reproducible results that inform both research and product decisions.
8 years of coding experience
5 years of employment as a software developer
PhD, PhD at University of Chicago
Bachelor's degree, Bachelor's degree at Zhejiang University
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