Ziang Li (李子昂)
I am a third-year CS PhD student at School of Computational Science and Engineering (CSE), Georgia Institute of Technology, advised by Prof. Yunan Luo. I have broad interests in computational biology and machine learning, with a particular focus on developing AI methods to aid real-world biological and medical research. Currently, I work on developing and applying AI models to understand and optimize protein function, with an emphasis on stability and functional fitness.
Previously, I obtained a B.E. in CS from Tsinghua University and won a gold medal in Chemistry Olympiad during high school. I was honored to have worked with Prof. Jie Tang at Tsinghua University and Prof. Maria Brbic, Prof. Jure Leskovec at Stanford. In the industry, I used to intern at Tencent Quantum Lab, working with Prof. Chang-Yu Hsieh and at Helixon, working with Prof. Jian Peng and Prof. Jianzhu Ma.
My first name is pronounced like “Zion”.
Recent News
- [2026/06] I started my internship at Biohub in Redwood City, CA.
- [2025/12] Our DETANGO paper was accepted at RECOMB 2026. [paper]
- [2025/12] Our SPURS paper has been published in Nature Communications. [paper]
- [2025/12] We have been invited to present our work at the CAGI7 Conference, following strong performance from a SPURS-based follow-up study. [conference]
- [2025/12] I attended NeurIPS 2025.
- [2025/10] I presented our work at the Molecule Maker Lab Institute (MMLI). [workshop]
- [2025/09] I gave an invited talk at ByteDance, sharing our recent work on protein modeling.
- [2024/12] One paper was accepted at RECOMB 2025.