Shibiao Wan

Summary

Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Assistant Director for Bioinformatics and Systems Biology Core at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.

With more than 14 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals including Frontiers in Immunology, Frontiers in Cell and Developmental Biology, Frontiers in Pharmacology, Biology, Frontiers in Genetics, and Genes.

Dr Wan is a TPC member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >50 prestigious journals including Nature Methods, Nature Communications, Nature Computational Science, Nucleic Acids Research, Cancer Research, Genome Medicine, and Briefings in Bioinformatics. 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 Award 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 a member of AACR, ISCB and ACM and an IEEE Senior Member.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Cardiology Cell Biology Computational Biology Computational Science Computer Vision COVID-19 Data Mining & Machine Learning Data Science Databases Developmental Biology Diabetes & Endocrinology Epidemiology Evolutionary Studies Genetics Genomics Hematology Immunology Infectious Diseases Mathematical Biology Medical Genetics Metabolic Sciences Neural Networks Neuroscience Obesity Oncology Pathology Pediatrics Pharmacology Radiology & Medical Imaging Statistics Synthetic Biology Text Mining Translational Medicine Women's Health