She graduated from Northeast Agricultural University, coordinates lab administration and reimbursements, and studies DMTA cycles in drug discovery.

A third-year NUS PhD student, he develops AI for reaction optimization, synthesis-condition prediction and automated wet-lab validation.

He holds CS (Northeastern) and BME (Tsinghua) degrees. Now a first-year PhD student, he studies GNNs, activity cliffs and representations, with NC/ICLR papers.

A first-year PhD student and ZJU undergraduate alumnus, he studies AI-assisted reaction modeling, small-molecule generation and retrosynthesis.

A first-year PhD student at ZJU with an ECUST background, he studies flow matching, generative models and AI agents.

A first-year PhD student, she is jointly trained in Burns at ZJU’s Second Affiliated Hospital and studies clinical intelligence and aging.

A ZJU master’s student and Sun Yat-sen University graduate, she studies AI-guided CAR target discovery and omics for clinical diagnosis.

With strong chemistry training at ZJU’s Chu Kochen Honors College, he works on AI-driven reaction optimization and retrosynthesis.

From China Pharmaceutical University, he interned in Yun Xia’s lab. He has a JCIM paper and a software copyright, and studies molecular representations.

Nan is a pharmacy undergraduate at ZJU and a rotation intern interested in molecular AI and drug property prediction.

Ruizhi studies Bioinformatics at the ZJU–Edinburgh Institute and is interested in cancer immunotherapy and computational biology.

Bin is a USTC Computer Science undergraduate working on AI-based immunotherapy response prediction, omics and computational biology.

An AI undergraduate at Shandong Agricultural University and lab intern since April 2026, he develops ManiMol for molecular conformation generation.

Chengyuan is a first-year undergraduate at ZJU’s College of Pharmaceutical Sciences.

A visiting scientist from USTC, Heqin develops AI for RNA structure prediction, modeling and therapeutic RNA design.

A visiting scientist from Cornell, Chengqi studies LLMs for biomedical knowledge extraction and drug–drug interaction prediction.

Jiayi studies AI for Science at NUS, with interests in molecular representations, scientific AI agents and Music AI.

A visiting student from Shenzhen Bay Laboratory, Songlin studies metagenomic AI and microbiome-based disease prediction.

A visiting student from HKU Computer Science, Shihang studies molecular graph learning, including FPPool.

A visiting PhD student from ZJU Computer Science, Ruifeng studies molecular property prediction and RNA structure modeling.

A PolyU master’s student in Biopharmaceutical Development and Commercialization, Ailin contributes to the AgentPV project.

Jiayi studied pharmacy at ZJU and plans to pursue an MSc in Artificial Intelligence for Science at NUS.

A Hunan University of Chinese Medicine undergraduate, Zhiguo interned from February to July 2026 and will pursue a direct-entry PhD at Fudan.