Chengzhai Wang is a Dry Etch Engineer at Micron with nine years of experience blending chemical engineering research and data-driven problem solving. Currently a PhD candidate at Georgia Tech, he has developed and applied nano-absorbent materials such as MOFs and brings deep expertise in statistical analytics, machine learning, and big data through hands-on work in Python, R, SQL, and MATLAB. His background includes a master's in Computational Science and Engineering and a data science internship at Dow, where he translated research models into practical, production-aware analyses. Known for bridging lab-scale materials innovation with computational workflows, he uniquely combines experimental etch process knowledge with quantitative modeling to accelerate process optimization. Based in Atlanta, he leverages a strong academic track record from top institutions in China and the U.S. to drive measurable improvements in semiconductor manufacturing.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Jiao Tong University
Contributions:21 commits, 21 pushes, 3 comments in 7 months
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