Shibiao Wan, PhD
Assistant Professor, Department of Genetics, Cell Biology, and Anatomy
Assistant Director, Bioinformatics and Systems Biology Core
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). He is also the Assistant Director for Bioinformatics and Systems Biology Core at UNMC. With more than 14 years of experience in machine learning, 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 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 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, 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.
- S. Wan, J. Kim and K. J. Won, “SHARP: Hyper-Fast and Accurate Processing of Single-Cell RNA-seq Data via Ensemble Random Projection”, Genome Research, 2020, vol. 30, pp. 205-213. (https://genome.cshlp.org/content/30/2/205.full)
- S. Wan, M. W. Mak, and S. Y. Kung, "FUEL-mLoc: Feature-Unified Prediction and Explanation of Multi-Localization of Cellular Proteins in Multiple Organisms",Bioinformatics, 2017, vol. 33, no. 5, pp. 749–750. (https://academic.oup.com/bioinformatics/article/33/5/749/2736075?login=true)
- T. Sakamoto, K. Batmanov, S. Wan, Y. Guo, L. Lai, R. B. Vega and D. P. Kelly, “The Nuclear Receptor ERR Cooperates with the Cardiogenic Factor GATA4 to Orchestrate Transcriptional Control of Cardiomyocyte Differentiation”, Nature Communications, 2022, vol. 13, no. 1991, pp. 1-20. (https://www.nature.com/articles/s41467-022-29733-3)