I am a Research Scientist in the Fundamental Generative AI Research (GenAIR) Group at NVIDIA Research, supervised by Arash Vahdat. I received my Ph.D. in Computer Science from Mila – Québec AI Institute and Université de Montréal in 2026, advised by Prof. Jian Tang. My research focuses on deep generative models for protein structure design, protein representation learning, and AI-driven drug discovery. At NVIDIA, I contribute to the Proteina generative model suite for protein structure design, and proposed Complexa, a generative protein binder design model with successful wet-lab validation.
I received my B.S. in Computer Science (Honor Class) from Fudan University in 2021, advised by Prof. Zhongzhi Zhang. I was also a Machine Learning Engineering Intern at ByteDance (2020–2021), working on recommender systems.
- May 2026 Joined NVIDIA Research as a Research Scientist.
- Apr. 2026 Proteiná-Complexa (protein binder design) accepted to ICLR 2026 as an oral presentation.
- Jan. 2025 Proteiná accepted to ICLR 2025 as an oral presentation.
- Sept. 2024 Paper on multi-scale representation learning for protein fitness prediction accepted to NeurIPS 2024.
- Jan. 2024 Gave a talk on protein structure representation learning at SJTU. [slides]
* denotes equal contribution. See Google Scholar for a full list.
- Outstanding Undergraduates Graduates of Shanghai Jun. 2021
- Shanghai Scholarship (Top 1%) Oct. 2020
- Scholarships for Outstanding Academic Individuals, Fudan University Dec. 2020
- SenseTime Scholarship (29 undergrads from China) Jan. 2020
- Chinese National Scholarship (Top 1%) Oct. 2019
- Chun Tsung Scholar Program Apr. 2019
- Chinese National Scholarship (Top 1%) Oct. 2018
- Gold Medal, ACM-ICPC Asia Regional Contest EC-Final Dec. 2017
- Gold Medal, ACM-ICPC Asia Regional Contest Qingdao Site Nov. 2017
- Silver Medal, National Olympiad in Informatics (National Finals) Jul. 2016