Xinyu Li is a postdoctoral research associate blending eight years of interdisciplinary expertise in machine learning and computational chemistry to accelerate renewable-energy materials discovery and drug design. Based in Adelaide, she develops ML-driven computational methods—such as AI force fields and molecular docking tools—to tackle challenges from CO2 capture to hydrogen production and battery chemistry. Her background spans PhD-level computer science work and advanced degrees in renewable energy from institutions including MINES ParisTech, giving her a rare combination of algorithmic rigor and domain knowledge in energy materials. Notably, she translates academic research into applied tooling for materials screening and computer-aided drug design, bridging theory and deployable computational workflows.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Newcastle
Master of Engineering - MEng, Renewable Energy Science and Engineering, Master of Engineering - MEng, Renewable Energy Science and Engineering at Huazhong University of Science and Technology
Bachelor of Engineering - BE, Renewable Energy Science and Engineering, Bachelor of Engineering - BE, Renewable Energy Science and Engineering at Central South University
Master of Science - MS, Renewable Energy, Master of Science - MS, Renewable Energy at MINES ParisTech
Contributions:9 pushes, 3 branches in 3 years 8 months
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