Prof. Junwen John Wang is currently a Professor at the Faculty of Dentistry, The University of Hong Kong. Prior to this, he served as a Professor of Biomedical Informatics in the Department of Quantitative Health Sciences, Center for Individualized Medicine, and Mayo Clinic Comprehensive Cancer Center at the Mayo Clinic College of Medicine and Science, Arizona, USA. He is currently an affiliate professor with Mayo Clinic and Arizona State University, USA.

He received his undergraduate and graduate training in China, followed by a PhD from the University of Washington and an MS from the University of Pennsylvania. He completed his postdoctoral fellowship at the Center for Bioinformatics, University of Pennsylvania.

Prof. Wang was honored with the Outstanding Young Researcher Award in 2012 and the Outstanding Research Student Supervisor Award in 2024 by HKU. He was recognized among the top 1% most cited researchers by ISI Essential Science Indicators in 2013 and 2014.

Several of his former PhD students have received the HKU Outstanding Research Postgraduate Student Award, and many have gone on to faculty positions at prestigious institutions including Baylor College of Medicine, Mayo Clinic, HKU, CUHK, and universities in mainland China such as TJMU and SYSU-SZ.

He currently serves as a Senior Associate Editor for Cancer Immunology, Immunotherapy.

Prof. Wang's main research interests are bioinformatics and computational genomics. Currently, his team focuses on three areas: 1) Develop AI/informatics methods to predict promoters, enhancers, and to infer regulatory networks/modules from high-throughput (single-cell) OMICs data. 2) Develop methods, databases and web servers to analyze, interpret genomic, transcriptomic and epigenetic data generated from next-generation sequencing platforms. 3) Develop (generative) AI methods and LLM (large language models) for drug discovery, multi-omics data integration, drug-protein interaction, and immunotherapy.

Prof. Wang and his team are also actively collaborating with local and international researchers in applying bioinformatics for biomedical discovery, and welcome new collaborations that answer significant biological questions or advance methodology development.