University of Nebraska Medical Center

Shibiao Wan, PhD

Assistant Professor, Department of Genetics, Cell Biology, and Anatomy
Assistant Director, Bioinformatics and Systems Biology Core


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). He is also the Assistant Director for Bioinformatics and Systems Biology Core at UNMC. With more than 12 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published 40+ 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, and BMC Bioinformatics. He is a TPC member for 20+ machine learning related international conferences. Dr. Wan is a recipient of the global peer review awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 awarded by Clarivate. Dr. Wan is also an Outstanding Young Alumni Awardee in 2022. 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 bioinformatics, machine learning and computational biology, especially in single cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, and precision medicine. Besides collaborating with scientists in cancer biology, metabolism, immunology, pathology and developmental biology, Dr. Wan's lab is mainly to develop artificial intelligence, machine learning and/or data science based methods to tackle essential biomedical problems in genomics, transcriptomics, epigenetics, proteomics, metabolomics, and interactomes.

Selected Publications
  1. 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)
  2. 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)
  3. 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)
Honors & Awards
  • FIRST Award of Nebraska EPSCoR Program, 2023
  • IEEE Senior Member, 2022
  • Outstanding Young Alumni Award, 2022
  • Top reviewers in Cross-Field (top 1%), Clarivate, 2019
  • Top reviewers in Biology and Biochemistry (top 1%), Clarivate, 2019