- 2024/07: MODIFY paper published in Nature Communications
- 2023/12: Our paper on contrastive fitness learning accepted by RECOMB 2024
- 2023/11: KDBNet paper published in Nature Machine Intelligence
- 2023/03: Enzyme function prediction paper published at Science
Awards received:
- 2025: NSF CAREER Award
- 2023: NIH Maximizing Investigators’ Research Award (MIRA) (R35 for ESI)
- 2023: Top-10 Reviewer Award, LOG Conference
- 2022: Amazon Research Award
- 2022: Top-20 Reviewer Award, LOG Conference
Research Experience
Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022.
Education
PhD in 2021 from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng; Bachelor's degree in Computer Science from Yao Class at Tsinghua University in 2016.
Background
Research interests: computational biology and machine learning, with a focus on developing AI and data science methods to reveal core scientific insights into biology and medicine. Recent interests include machine learning, geometric deep learning, generative AI, large language models, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided protein engineering.
Miscellany
Teaching experience:
- Fall 2025: CSE8803 MLG, Machine Learning with Graphs
- Spring 2025: CSE7850/CX4803, Machine Learning for Computational Biology
- Spring 2024: CSE7850/CX4803, Machine Learning for Computational Biology
- Fall 2023: CSE8803 MLG, Machine Learning with Graphs
- Spring 2023: CSE8803/CX4803, Machine Learning for Computational Biology
- Spring 2022: CSE8803/CX4803, Machine Learning for Computational Biology (with Xiuwei Zhang)