Shunshun Liu
Graduate Research Assistant
Charlottesville, Virginia, United States
Summary
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Senior🎓
Top SchoolShunshun Liu is a Graduate Research Assistant and PhD candidate in Materials Engineering at the University of Virginia, with nine years of experience applying explainable machine learning to accelerate materials discovery and design. He develops interpretable ML models, integrates symbolic regression and Bayesian inference with mechanistic models, and couples DFT-based calculations with adaptive learning to target properties in high-entropy alloys and thermal barrier coatings. Recent internships at Los Alamos National Laboratory and Seagate involved building automated graph deep-learning workflows and Monte Carlo Tree Search methods for inverse materials design, highlighting a rare blend of hands-on algorithm development and domain-specific simulation expertise. Holding an MS from the University of Pennsylvania and a BE from Wuhan University of Technology, he brings practical proficiency in Quantum ESPRESSO, many-body perturbation theory, and data-driven engineering. Notably, his work emphasizes interpretability—turning complex first-principles and ML outputs into actionable analytical models for materials engineers.
9 years of coding experience
Master of Science - MS, Materials Engineering, Master of Science - MS, Materials Engineering at University of PennsylvaniaBachelor of Engineering - BE, Materials Science, Bachelor of Engineering - BE, Materials Science at Wuhan University of TechnologyDoctor of Philosophy - PhD, Materials Engineering, Doctor of Philosophy - PhD, Materials Engineering at University of Virginia
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
extraction6
tar4
compression4
archiving4
snappy3
archiver3
tarball3
java3
Programming languages (1)
Github contributions (5)
Yeening/LeetCode
Mar 2018 - Feb 2025
Contributions:1185 pushes, 1 branch in 7 years
Eclear/tinyHeart
May 2018 - Jun 2018
Contributions:29 commits, 23 pushes, 1 branch in 12 days
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