R&D / Process / Materials / Mechanical Engineering
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Dedicated Materials Engineering graduate student with focus on Machine Learning & Data Science at USC. I possess strong backgrounds in Materials Science, Mechanical Engineering, CAD Design, DOE(Design of Experiment) and Data Analysis. Previously served as an undergraduate researcher at the Nano Device & Energy Material Lab at National Central University, Taiwan, and R&D Intern at DuPont's EP Lab, gaining hands-on experience in lab-based 2D semiconductor materials and PCB plating research, and leading R&D projects.
Keywords: R&D, DOE, Process Integration, IC Substrate, electroplating, semiconductor, Python, Machine Learning, Data Science, CAD Design
R&D Intern | RD EP Lab @ DuPont, Jul 2021 - Jun 2022
DuPont is developing materials for our customers (B2B) to produce electronic devices. Our material performance is not only determined by the material itself, but also coupled with plating tool capabilities. However, our lab tool limits the material's performance window, and made the product promotion more difficult, where I expanded the toolbox to improve our tool.
Project: PCB Copper Plating Uniformity Improvement Project
National Central University, Taiwan: BS in Mechanical Engineering - Design and Analysis Engineering
University of Southern California: MS in Materials Engineering - Machine Learning
