Tim Hsu
Data Scientist
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolTim Hsu is a data scientist with nine years of applied research experience in geometric and graph-based machine learning for atomic and molecular structures, currently developing generative ML methods at Lawrence Livermore National Laboratory. His work bridges scientific AI and high-performance computing—spanning graph neural networks, generative models for atomic configurations, and distributed training across dozens of GPUs. Tim’s background includes a top-tier PhD in Materials Science from Carnegie Mellon, where he combined 3D microscopy, tomography, and C++ physics simulations on hundreds of CPU cores, reflecting strong cross-disciplinary fluency. He is adept at turning unstructured scientific data into predictive and generative models that accelerate materials discovery, and brings a practical track record of scaling research prototypes toward production-grade HPC workflows.
9 years of coding experience
4 years of employment as a software developer
University of Illinois Urbana-ChampaignPhD, Materials Science and Engineering, 3.96/4.00, PhD, Materials Science and Engineering, 3.96/4.00 at Carnegie Mellon University
Chinese, English, japanese (jlpt n2)
Github Skills (7)
simulation7
parallel6
amr6
python5
multiphysics5
finite-element-analysis2
moose1
Programming languages (2)
Github contributions (5)
LLNL/graphite
Jun 2022 - Dec 2022
A repository for implementing graph network models based on atomic structures.
Contributions:7 commits, 4 PRs, 24 pushes in 5 months
tim-hsu/dotfiles
May 2019 - Oct 2020
Contributions:70 pushes, 1 branch in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.