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 (27)
pytorch10
python10
generative10
data-science9
machine-learning9
tensorflow9
deep-learning9
hci8
optimization8
fuel8
jax8
hierarchical8
inverse7
neural-network7
generative-adversarial-network7
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/hgan_idetc2018
May 2018 - Jun 2019
Experiment code associated with our IDETC 2018 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
Contributions:8 commits, 2 PRs, 4 pushes in 1 year 1 month
pytorchdependenciesdeep-learningadversarialdesigns
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