Bo-hsun Chen
Graduate Research Assistant
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolBo-hsun Chen is a Computer Science PhD candidate at the University of Wisconsin–Madison specializing in camera sensor simulation, photorealistic rendering, and sim-to-real transfer for robotic perception. He builds physics-informed, differentiable camera models and integrates ML methods (NeRFs, GANs, PyTorch/CUDA) to reduce reliance on real imagery—his work cut required real photos by over 80% while maintaining performance. He led creation of the POLAR-Sim dataset that augments NASA data with 3D meshes and dense labels for detection, segmentation, and stereo tasks, and has parallelized BRDF optimization in CUDA for scalable inverse rendering. With a strong interdisciplinary background spanning mechanical, electrical, and computer engineering, he combines hands-on GPU programming and robotics experimentation with rigorous ML evaluation. Open to internships in 2026, he focuses on simulation-driven AI that accelerates robotics research and lowers development costs.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.89/4.0, Doctor of Philosophy - PhD, Computer Science, 3.89/4.0 at University of Wisconsin-MadisonMaster of Science - MS, System Control Divion, Mechanical Engineering, 4.05/4.3, Master of Science - MS, System Control Divion, Mechanical Engineering, 4.05/4.3 at National Taiwan University
Chinese, English, Japanese
Github Skills (13)
robotics8
physics-engine8
simulations8
simulation8
dynamics8
modeling8
c-library6
physics6
multiphysics5
high-performance5
cpp5
google-colab1
pose1
Programming languages (2)
Github contributions (5)
uwsbel/POLAR-Sim
Aug 2023 - Feb 2025
Contributions:31 pushes in 1 year 6 months
DanielYamChen/ISOSC
May 2023 - Aug 2024
Contributions:14 pushes, 1 branch in 1 year 2 months
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