Bin Wang is an Associate Director of Data Science with nine years of experience blending academic rigor in crystallography and TEM instrumentation with production ML and software engineering. He holds a PhD in inorganic chemistry and built novel computer-vision and optimization pipelines for automated rotation electron diffraction during his doctoral work, later translating research prototypes into product-ready code at Vironova. At SAS and AstraZeneca he has delivered end-to-end ML solutions—spanning data engineering, classical and deep learning models (including GNNs), and Azure CI/CD deployment—while coaching cross-functional teams. Comfortable in Python, MATLAB and C#, he is pragmatic about both numerical accuracy and clean, maintainable code and enjoys automating tedious workflows. A fast learner with a background that uniquely bridges microscopy hardware, scientific method development and enterprise ML, he also plays guitar in his spare time.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.) Chemistry, Bachelor of Science (B.Sc.) Chemistry at Fudan University
Master of Science (M.Sc.) Materials Chemistry, Master of Science (M.Sc.) Materials Chemistry at Cornell University
Doctor of Philosophy - PhD Inorganic Chemistry, Doctor of Philosophy - PhD Inorganic Chemistry at Stockholm University
Collection of tools for automated processing and clustering of single-crystal electron diffraction data
Contributions:21 pushes, 1 branch in 11 months
pythonelectroncrystalclusteringdiffraction
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.