王鑫，助理教授，本科毕业于中山大学化学系，研究生毕业博士毕业于澳大利亚新南威尔士大学，2018 年博士毕业后分别于美国西北大学和哈佛大学从事博士后研究工作。在硕士、博士、博士后以及企业工作期间，专注于计算生物学、机器学习与 AI 辅助药物设计，在 Nature、Nucleic Acids Research、Bioinformatics、NAR Genomics and Bioinformatics、BMC Genomics、BMC Bioinformatics 等国际知名刊物及IEEE BIBM等国际知名生物信息学会议发表多篇文章。累计多次受邀在哈佛医学院，麻省总医院癌症中心，美国西北大学药理系，香港大学李嘉诚医学院以及 ISMB，InCoB，BIBM 等国际顶级生物信息学会议发表过多次计算生物学前沿算法相关演讲。目前发表 SCI 论文二十余篇，总引用 1100 余次。累计指导研究生及优秀本科生共计 60 余人。担任 Briefings in Bioinformatics、Bioinformatics、Journal of Chemical Information and Modeling、Bioinformatics Advances、Genomics, Proteomics & Bioinformatics等著名刊物的审稿人及 Frontiers in Chemistry 杂志的特邀客座主编。主持已结题横向项目一项，市级项目参与三项，主持教改项目完成两项。

一、教育经历

2014/08-2018/03 新南威尔士大学（悉尼），生物信息学，博士（Ph.D.）

2005/09-2009/06 中山大学，化学，理学学士

二、工作经历

2021/12-至今  深圳技术大学，大数据与互联网学院，助理教授

2021/11-2021/12 栈源（杭州）生物医药有限公司，首席技术官（CTO）

2020/03-2021/08 哈佛大学哈佛医学院，生物医学信息学系，研究员（Research Fellow）

2018/04-2020/02 美国西北大学Feinberg医学院，药理学系，博士后研究员

2013/08-2014/06 葡萄牙Biocant 研究所，生物信息研究员

2009/08-2010/07 广州华峰生物科技有限公司， 生物信息研究员

三、主要研究领域

计算生物学，机器学习与AI辅助制药，目前着力于抗体药特别是纳米体药物的计算机辅助设计研究。

四、近五年发表论文

(1). Xin Wang#*, Zebiao Zheng#, Wei Qin#, Kangrui Yu#, Yangqi Hong, Yongqi Tang, Tiantai Wang, Lixin Liang*, and Bingding Huang*. NanoLAS 2.0: A Comprehensive Update on a Nanobody-Focused Platform with Advanced Visualization and Docking Simulation Features. (2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025) (CCF-B)

https://ieeexplore.ieee.org/abstract/document/11356141

(2). Xin Wang#*, Ruixuan Lin#, Jiaming Tang, Ruisheng Huang, Huankai Chen, Lixin Liang, Bingding Huang*. BioLedger: A Token Incentive-based Framework for the Secure Sharing of Genetic Data in Consortium Blockchain. (2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025) (CCF-B)

https://ieeexplore.ieee.org/abstract/document/11357073

(3) . Xin Wang#, Yicheng Zhuang#, Wenrui Liang#, Haoyang Wen#, Zhencong Cai, Yujia He, Yuxi Su, Wei Qin, Yuanzhe Cai, Lixin Liang* and Bingding Huang*. “VisionMol: A Novel Virtual Reality Tool for Protein Molecular Structure Visualization and Manipulation.” Bioinformatics (2025): btaf118. (CCF-A)

https://doi.org/10.1093/bioinformatics/btaf118

(4) . Xin Wang#, Haotian Chen#, Bo Chen, Lixin Liang, Fengcheng Mei*, and Bingding Huang*. “NanoAbLLaMA: construction of nanobody libraries with protein large language models.” Frontiers in Chemistry 13 (2025): 1545136.

https://doi.org/10.3389/fchem.2025.1545136

(5) Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang*, Xin Wang*. NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. BMC Bioinformatics 25, 122 (2024). (CCF-C)

https://doi.org/10.1186/s12859-024-05750-5

(6) . Wenyuan Shang#, Xiujun Hu#, Xiaoman Lin, Shangru Li, Shuchang Xiong, Bingding Huang*, Xin Wang*. (2024). Iterative In Silico Screening for Optimizing Stable Conformation of Anti-SARS-CoV-2 Nanobodies. Pharmaceuticals 17, no. 4: 424. （中科院药学二区）

https://doi.org/10.3390/ph17040424

(7). Shuchang Xiong#, Zhengwen Liu#, Xin Yi#, Kai Liu, Bingding Huang*, Xin Wang*. NanoLAS: a comprehensive nanobody database with data integration, consolidation and application. Database-The Journal of Biological Databases and Curation, Volume 2024, 2024, baae003. https://doi.org/10.1093/database/baae003

(8). Shibo Liang, Ziquan Liang, Zecheng Wu, Feijuan Huang, Xu Wang, Yuanzhe Cai, Bingding Huang, Xin Wang. (2023). A benchmark study of protein folding algorithms on nanobodies. 2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI). https://ieeexplore.ieee.org/document/10242734

(9). Blue B. Lake, Rajasree Menon, Seth Winfree, Qiwen Hu, Ricardo Melo Ferreira, Kian Kalhor, Daria Barwinska, Edgar A. Otto, Michael Ferkowicz, Dinh Diep, Nongluk Plongthongkum, Amanda Knoten, Sarah Urata, Laura H. Mariani, Abhijit S. Naik, Sean Eddy, Bo Zhang, Yan Wu, Diane Salamon, James C. Williams, Xin Wang, Karol S. Balderrama, Paul J. Hoover, Evan Murray, Jamie L. Marshall, Teia Noel, Anitha Vijayan, Austin Hartman, Fei Chen, Sushrut S. Waikar, Sylvia E. Rosas, Francis P. Wilson, Paul M. Palevsky, Krzysztof Kiryluk, John R. Sedor, Robert D. Toto, Chirag R. Parikh, Eric H. Kim, Rahul Satija, Anna Greka, Evan Z. Macosko, Peter V. Kharchenko, Joseph P. Gaut, Jeffrey B. Hodgin, KPMP Consortium, Michael T. Eadon, Pierre C. Dagher, Tarek M. El-Achkar, Kun Zhang, Matthias Kretzler & Sanjay Jain. (2023). An atlas of healthy and injured cell states and niches in the human kidney. Nature (619), 585–594.

(10). Xin Wang, Jane Frederick, Hongbin Wang, Sheng Hui, Vadim Backman, Zhe Ji. (2021). Spike-in normalization for single-cell RNA-seq reveals dynamic global transcriptional activity mediating anti-cancer drug response. NAR Genomics and Bioinformatics, 3 (2), lqab054.

五、其他信息

计算生物学实验室网站：www.wanglab.fun

实验室为进实验室同学提供办公位置，搭载GPU的工作站/服务器，VR设备及专业的各方面技能培训。提供面向国内外著名高校的硕博申请推荐信和深圳各大计算机/生物信息/互联网公司的工作推荐信。欢迎各位同学的加入。

E-mail:wangxin@sztu.edu.cn