Wei Chen
Postdoctoral Scholar at Northwestern University
Evanston, Illinois, United States
Summary
👤
Senior🎓
Top SchoolWei Chen is a Postdoctoral Scholar at Northwestern University with 11 years of experience applying machine learning to engineering design problems. He develops deep learning, reinforcement learning, active learning, and optimization tools for tasks such as design synthesis, design space exploration, and inverse design, aiming to achieve performance beyond traditional methods. His background includes research scientist work at Siemens on generative design for high-resolution 3D models and a Ph.D. in Mechanical Engineering from the University of Maryland. Comfortable bridging theory and application, he specializes in learning low-dimensional latent parameterizations that make complex CAD-scale design spaces tractable for exploration and optimization. Based in Evanston, IL, he blends rigorous academic research with industry-facing projects that translate advanced ML techniques into practical engineering workflows.
11 years of coding experience
6 years of employment as a software developer
B.S., Mechanical Engineering, B.S., Mechanical Engineering at Chongqing UniversityThe University of Maryland, College Park
Chinese, English
Github Skills (14)
generative-adversarial-network10
data-science9
python9
tensorflow9
jax9
machine-learning9
deep-learning9
pytorch9
generative-ai5
generative-model5
generative5
optimization3
command-line-utility1
log-likelihood1
Programming languages (4)
Github contributions (5)
wchen459/wchen459.github.io
Jul 2020 - Feb 2023
Contributions:173 commits, 10 PRs, 164 pushes in 2 years 7 months
IDEALLab/design_embeddings_jmd_2016
Sep 2016 - Aug 2018
Contributions:22 commits, 17 pushes, 1 branch in 1 year 11 months
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