郑双佳，上海交通大学溥渊未来技术学院任长聘教轨助理教授，博导，麻省理工学院访问学者，中山大学博士。主要研究基于多尺度深度学习的智能药物设计方法，在Nat. Mach. Intell., Nat. Commun., Nat. Biomed. Eng, NeurIPS等领域内顶级期刊及会议上发表了三十余篇论文；曾获吴瑞奖学金，百度奖学金，世界人工智能大会青年优秀论文奖等。曾任星药科技副总裁，和团队开发的多款智能药物发现算法在海内外制药学术界和工业界得到广泛使用，数款候选药物已推进至临床前试验阶段。

2023 中山大学，计算机科学与技术，博士

2020 中山大学，药学，硕士

2017 南方医科大学，药学，学士

2023-至今 上海交通大学溥渊未来技术学院 长聘教轨助理教授

2023-至今 麻省理工学院 访问学者

2020-2023 星药科技 副总裁

2024 亚洲青年科学家基金项目研究员

2024 福布斯亚洲30岁以下杰出人才榜（Forbes U30 Asia）

2023 世界人工智能大会云帆奖

2023 吴瑞奖学金及吴瑞天使基金获得者

2022 百度奖学金

2021 世界人工智能大会青年优秀论文奖

W. Lu, J. Zhang, W. Huang, Z. Zhang, X. Jia, Z. Wang, L. Shi, C. Li, P. Wolynes. S. Zheng*. DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model. Nature Communications. 2024.

S . Zheng*, J. Rao, C. Li, J. Zhang, Y. Yang, L. Zhou, E. Cohen, W. Lu, Y. Yang†. Cross-modal Graph Contrastive Learning with Cellular Images[J]. Advanced Science. 2024.

J. Rao, J. Xie, Q. Yuan, D. Liu, Z. Wang, Y. Lu, S. Zheng*, Y. Yang*. A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions. Nature Communications. 2024.

M. Li, X. Liu, H. Ji, S. Zheng*. Causal Subgraph Learning for Generalizable Inductive Relation Prediction. SIGKDD. 2024 (CCF-A)

S. Zheng, Y. Tan, Z. Wang, C. Li, Z. Zhang, X. Sang, H. Chen, Y. Yang. Accelerated rational PROTAC design via deep learning and molecular simulations[J]. Nature Machine Intelligence. 2022.

S. Zheng, T. Zeng, C. Li, B. Chen, C. W. Coley, Y. Yang, R. Wu. Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP[J]. Nature Communications. 2022.

S. Zheng, Y Li, S. Chen, J. Xu, Y. Yang. Predicting Drug Protein Interaction using Quasi-Visual Question Answering System[J]. Nature Machine Intelligence. 2020.

W. Lu, Q. Wu, J. Zhang, J. Rao, C. Li, S. Zheng*. TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction[C]. NeurIPS. 2022. (CCF-A)

C. Xie, X. Zhuang, Z. Niu, R. Ai, S. Lautrup, S. Zheng, et al. Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow[J]. Nature Biomedical Engineering, 2022.

S.Zheng, J. Rao, Y. Song, J. Zhang, X. Xiao, F. Fang, Y Yang, Z.Niu. PharmKG: A Dedicated Knowledge Graph Benchmark for Biomedical Data Mining[J]. Briefings in Bioinformatics. 2021.

CCF生物信息学“新未来”青年学者研讨会执行委员

上海生物信息学会青年委员会委员

人工智能顶会NeurIPS 2024领域主席（Area chair）

期刊审稿人: Nature Machine Intelligence, Nature Communications, Cell Genomics, Patterns, Bioinformatics, J. Chem. Inf. Model, J. Cheminformatics等

会议程序委员: ICLR 2022/2023/2024, NeurIPS 2023/2022/2021, ICML 2021/2022/2023/2024, KDD2024等