Ruijie Zhu
Visiting Student Graduate
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolRuijie Zhu is a computational materials scientist and PhD student at the University of Chicago who blends machine learning, diffusion models, and high-throughput DFT to accelerate discovery of sustainable materials for carbon capture, water harvesting, and energy applications. With nine years of research experience across Argonne, LLNL, and Northwestern, he has co-authored work on generative AI frameworks for MOF design and built end-to-end AI pipelines for interpretable property prediction. He is an NSF-NRT AIMEMS trainee and Polsky I-Corps alumnus who bridges fundamental modeling with technoeconomic and translational perspectives. Notably, he has applied diffusion models not just to molecules and frameworks but to amorphous carbon and cluster generation, showing a knack for adapting cutting-edge generative methods to materials problems. Based in Chicago, he also contributes to professional development through SASE and pursues interdisciplinary projects at the intersection of LLMs, proteins, and materials systems.
9 years of coding experience
1 year of employment as a software developer
Master's, Materials Science and Engineering, 3.925 / 4, Master's, Materials Science and Engineering, 3.925 / 4 at Northwestern UniversityMaster of Science - MS, Materials Science and Engineering, 90 / 100, Master of Science - MS, Materials Science and Engineering, 90 / 100 at Shanghai UniversityDoctor of Philosophy - PhD, Molecular Engineering, 3.84 / 4, Doctor of Philosophy - PhD, Molecular Engineering, 3.84 / 4 at University of Chicago
Chinese, English, Japanese, French, Korean
Github Skills (2)
robotics2
reinforcement-learning1
Programming languages (5)
Github contributions (5)
Ray16/ALCF_AI_Hackathon_Team_Borides
Jan 2022 - Nov 2022
Contributions:82 commits, 64 pushes, 1 branch in 10 months
Ray16/MOF_workflow
Feb 2023 - Apr 2023
Contributions:130 pushes in 1 month
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