Yu-chin Chan
Staff Research Scientist at Siemens
Raleigh, North Carolina, United States
Summary
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Top SchoolYu-chin Chan is a Staff Research Scientist at Siemens with eight years of experience applying AI, generative methods, and simulation to engineering design and optimization. With a PhD from Northwestern and a BS (summa cum laude) from NCSU, she bridges rigorous academic research—NSF fellowship–backed work on data-driven topology optimization—with industrial impact, including a patented adaptive topology optimization algorithm. She has presented on digital twins and scientific machine learning at major academic workshops and leads projects that translate deep learning and SciML into design-for-manufacturing solutions. Based in Raleigh, NC, she also mentors early-career women through leadership programs, reflecting a commitment to building technical teams as well as models. An engineer who codes, she combines hands-on Python tooling for large-scale optimization with a strong track record in multidisciplinary experimental and simulation research.
7 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, Summa Cum Laude, Bachelor of Science - BS, Mechanical Engineering, Summa Cum Laude at North Carolina State UniversityDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Northwestern University
Github Skills (8)
topology5
pointnet4
encoding4
autoencoder4
optimization4
python4
abaqus4
lattice1
Programming languages (4)
Github contributions (5)
lychan110/metaset
Feb 2020 - Nov 2020
Contributions:13 commits, 14 pushes, 1 branch in 9 months
lychan110/lychan110.github.io_old
Jun 2019 - Aug 2020
Contributions:7 PRs, 49 pushes, 3 branches in 1 year 1 month
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