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.
10 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 (10)
simulation10
physics-engine10
robotics10
cpp10
modeling10
multiphysics9
bounding-box8
database3
google-colab1
rendering1
Programming languages (3)
Github contributions (5)
uwsbel/POLAR-Sim
Aug 2023 - Jul 2025
Dataset for bounding box labels and terrain meshes of the POLAR database
Contributions:34 pushes in 1 year 10 months
bounding-boxdatabase
DanielYamChen/ISOSC
May 2023 - Aug 2024
Contributions:14 pushes, 1 branch in 1 year 2 months
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