About
Dr. Xinyu Li serves as a Research Fellow at the Australian Institute for Machine Learning (AIML) within the Faculty of Sciences, Engineering and Technology at the University of Adelaide. Based in the AIML Building (Lot 14), Room G.33, he collaborates with Prof. Javen Shi and is eligible to co-supervise Masters and PhD students.
His research bridges machine learning and computational chemistry to advance renewable-energy materials discovery and drug development, targeting global challenges like climate change and incurable diseases. This interdisciplinary work leverages AI to accelerate scientific breakthroughs in critical domains.
Key recognitions include:
- Winner, 2023 Open Catalyst Challenge
- 2nd Prize, Tencent Alchemy Contest
With over 10 publications in high-impact journals (Nano Letters, Nano Energy, JCTC, JPCL, JMCA), Dr. Li combines academic rigor with industry experience from an algorithm internship at Galixir Technology. He actively recruits PhD candidates from physics, chemistry, biology, and materials science backgrounds for AI4Science initiatives in material and drug discovery.
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