University of Nebraska Medical Center
University of Nebraska Medical Center

Shibiao Wan, PhD

Assistant Professor, Department of Genetics, Cell Biology, and Anatomy
Co-Director, Bioinformatics and Systems Biology PhD Program

402-559-6560

Headshot of Shibiao Wan, PhD.
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology, and Anatomy at the University of Nebraska Medical Center (UNMC) and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at UNMC. With more than 15 years of experience in artificial intelligence (AI), machine learning (ML), bioinformatics, and computational biology, Dr. Wan has published 70+ articles in prestigious journals like Advanced Science, Genome Research, Nature Communications, Science Advances, Circulation Research, and Nature Aging. Dr. Wan’s research has been supported by multiple funding sources, including NSF, NIH (specifically NCI, OD, NIGMS), American Cancer Society, Nebraska Research Initiative, etc. 
 
Dr. Wan is the Editor-in-Chief for the journal Current Proteomics and an editorial board member for a series of prestigious journals like Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, and Discover Oncology. Dr. Wan is a Session Chair for The 14th International Conference for Intelligent Biology and Medicine (ICIBM 2026) and the Co-Chair for Publicity Committee for ICIBM 2025. He is a Scientific Program Committee (SPC) member for the American Medical Informatics Association (AMIA) Annual Symposium and a Technical Program Committee (TPC) Member for >20 machine learning related international conferences, including IEEE ICTAI. Dr. Wan has served on multiple study sections in NIH and NSF, and he is a regular grant reviewer for funding agencies in Canada, the UK, and the Czech Republic. Dr. Wan is also a reviewer for >70 prestigious journals, including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, and Science Advances. 
 
Dr. Wan has received a number of accolades including the Joseph P. and Harriet K. Gilmore Distinguished New Investigator Award in 2026 by UNMC, the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni in 2022 by HK PolyU as well as the global peer review awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 awarded by Clarivate. Dr. Wan is an IEEE Senior Member and a member of AACR, AMIA, ISCB, and ACM.
  • Post-doc, University of Pennsylvania
  • Post-doc, Princeton University
  • PhD, The Hong Kong Polytechnic University
  • BEng, Wuhan University

Dr. Wan's laboratory is focusing on artificial intelligence (AI), machine learning (ML), bioinformatics, and computational biology, especially in cancer research, single-cell analysis, multi-omics analysis, spatial transcriptomics, intelligent healthcare, and precision medicine. Besides collaborating with scientists in cancer biology, neuroscience, metabolism, immunology, pathology and developmental biology, Dr. Wan's lab is mainly to develop AI/ML, data science and bioinformatics based methods to tackle essential basic, translational and clinical biomedical problems (e.g., cancer, neurological disorders, chronic diseases, and clinical informatics) by leveraging multi-omics data including genomics, transcriptomics, epigenetics, proteomics, metabolomics, and interactomes as well as medical imaging data and electronic health records (EHR) data.

  1. Wu X, Sun M, Li L, Wang J, Wan S*. Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy. Advanced Science. 2026 Feb 25;:e21936. doi: 10.1002/advs.202521936. PubMed PMID: 41736575.
  2. Sun M, Wang J, Wan S*. RaMBat: Accurate Identification of Medulloblastoma Subtypes from Diverse Data Sources with Severe Batch Effects. Molecular Oncology. 2026 Jan 22;. doi: 10.1002/1878-0261.70211. PubMed PMID: 41571436.
  3. Wan S, Kim J, Won KJ. SHARP: Hyperfast and Accurate Processing of Single-Cell RNA-Seq Data via Ensemble Random Projection. Genome Research. 2020 Feb;30(2):205-213. doi: 10.1101/gr.254557.119. Epub 2020 Jan 28. PubMed PMID: 31992615; PubMed Central PMCID: PMC7050522.
  • Joseph P. and Harriet K. Gilmore Distinguished New Investigator Award, 2026
  • Springer Nature Editor of Distinction Award, 2025
  • UNMC New Investigator Award, 2024
  • FIRST Award of Nebraska EPSCoR Program, 2023
  • IEEE Senior Member, 2022
  • Outstanding Young Alumni Award, 2022
  • Top reviewers in Cross-Field (top 1%), and Biology and Biochemistry (top 1%) by Clarivate, 2019