Yadi Cao
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYadi Cao is a scientific machine learning researcher and postdoctoral fellow at UCSD with a PhD from UCLA and six years of interdisciplinary experience bridging ML, computational physics, and graphics. She has contributed novel simulation methods for shockwave–solid coupling, damage phase-field models, and few-shot avatar reconstruction, and has applied state-of-the-art deep learning to physics simulation in industry internships at Google and Snap. Her background spans numerical solvers, CFD, thermal design and mesh operations, giving her a rare mix of theoretical rigor and practical implementation skills across particle and continuum methods. Comfortable in both academic and product-driven environments, she frequently turns complex PDE and constitutive modeling problems into tractable, learnable components for ML-driven simulators. An underappreciated strength is her fluency in shipping end-to-end solver features (from FEM/particle algorithms to thermal coupling) rather than only prototyping models.
6 years of coding experience
5 years of employment as a software developer
Bachelor's degree, ENGINEERING, 4, Bachelor's degree, ENGINEERING, 4 at University of Science and Technology of ChinaMaster's degree, Mechanical Engineering, 2, Master's degree, Mechanical Engineering, 2 at The University of British ColumbiaDoctor of Philosophy - PhD, Computer Science, 3, Doctor of Philosophy - PhD, Computer Science, 3 at University of California, Los Angeles
Github Skills (36)
portable10
simulation10
dataflow-programming10
python10
rendering10
gpu-programming10
parallel-computing10
computer-graphics10
gpu10
differentiable-programming10
high-performance10
nodes10
continuum9
visualization9
zen9
Programming languages (3)
Github contributions (5)
Eydcao/Yan-CG-SnowSim
Apr 2020 - Mar 2021
Contributions:22 commits, 20 pushes, 6 branches in 10 months
taichi-dev/taichi_houdini
Aug 2021 - Sep 2021
Contributions:49 commits in 1 month
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