Shibiao Wan, PhD
Assistant Professor, Department of Genetics, Cell Biology, and Anatomy
Co-Director, Bioinformatics and Systems Biology PhD Program
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 50+ articles in prestigious journals like Genome Research, Nature Communications, Science Advances, Circulation Research, and Nature Aging.
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. He is a TPC member for 20+ machine learning related international conferences, including ICTAI.
Dr. Wan has received a number of accolades including 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, intelligent healthcare, precision medicine, single cell analysis, multi-omics analysis, and spatial transcriptomics. 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 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.
- Wan S, Kim J, Won KJ. SHARP: hyperfast and accurate processing of single-cell RNA-seq data via ensemble random projection. Genome Res. 2020 Feb;30(2):205-213. doi: 10.1101/gr.254557.119. Epub 2020 Jan 28. PMID: 31992615; PMCID: PMC7050522.
- Li L, Sun M, Wang J, Wan S. Multi-omics based artificial intelligence for cancer research. Adv Cancer Res. 2024;163:303-356. doi: 10.1016/bs.acr.2024.06.005. Epub 2024 Jul 9. PMID: 39271266.
- Li L, Xiao H, Wu X, Tang Z, Khoury JD, Wang J, Wan S. RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia. Advanced Intelligent Systems. 2025:e202500965.
- 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