Advisory Board and Editors Genomics
Shibiao Wan
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 15 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 >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. 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 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 by Clarivate. Dr. Wan is a member of AACR, ISCB and ACM and an IEEE Senior Member.
Xiu-Jie Wang
Research Interests: To develop novel computational methods to analyze the fast increasing genomics, transcriptomics, proteomics and other large-scale biological data, to identify new non-coding regulatory RNA genes in eucaryotic genomes, to decipher their transcription regulatory mechanisms and to construct non-coding RNA involved gene regulatory networks.
Dapeng Wang
Dr Dapeng Wang is a Senior Bioinformatician in Integrative Analysis at the COMBAT consortium at the University of Oxford using multi-omics techniques in combination with the cutting-edge bioinformatic approaches and statistical methods to explore the pathogenesis of COVID-19 and stratification of patients as well as inform the treatment strategy based on genomics information.
Dr Wang received a bachelor’s degree in mathematics from the Shandong University in 2006 and obtained a PhD degree in bioinformatics from the Beijing Institute of Genomics of the Chinese Academy of Sciences in 2011. After his graduation, he continued to conduct research at the same institute from 2011 to 2014 and afterwards moved to the UK to take up various roles at the Cancer Institute at the University College London (2014-2016), the Department of Plant Sciences at the University of Oxford (2016-2018) and the LeedsOmics at the University of Leeds (2018-2020).
Owen S Wangensteen
PhD in Biology, PhD in Chemistry. Lecturer in Marine Zoology at the Dpt. of Evolutionary Biology, Ecology and Environmental Sciences, University of Barcelona
Research interests include: eukaryotic metabarcoding, marine molecular ecology, marine biodiversity, phylogeography, and bioinformatics.
James D Wasmuth
Dr. Wasmuth is an Associate Professor within the Department of Ecosystem and Public Health, Faculty of Veterinary Medicine at the University of Calgary, US. His primary research interests include parasite genomics and evolution.
David C Wedge
Group Leader in Cancer Genomics at the University of Oxford, Big Data Institute. I hold a BA in Chemistry from the University of Oxford, an MSc in Software Development from the University of Huddersfield and a PhD in Computing and Mathematics from Manchester Metropolitan University. I have previously worked as a researcher in the areas of Artificial Intelligence, Metabolomics, Proteomics and Genomics at the University of Manchester and the Wellcome Trust Sanger Institute. I have also previously taught in Primary Schools in schools in West Yorkshire.
Andrew Whitehead
Associate Professor in the Department of Environmental Toxicology, and Center for Population Biology, University of California at Davis. Research in Environmental, Ecological, and Evolutionary Genomics.
Katrine L Whiteson
Katrine Whiteson uses metagenomics, metabolomics, microbiology and ecological statistics to answer questions about how microbes and viruses affect human health. She studied Biochemistry at UC Berkeley (BA, 2000) and University of Chicago (PhD, 2007). During her PhD, Dr. Whiteson focused on the active site chemistry and DNA binding specificity of a site-specific recombinase from the class of proteins that enable the spread of antibiotic resistance genes. In 2008, she began a new job at the University of Geneva Hospitals with Dr. Jacques Schrenzel and Dr. Patrice Francois. This was an exciting era, just at the start of the Human Microbiome Project, for asking basic unanswered questions about the microbes and viruses inhabiting various niches of the human body. Dr. Whiteson focused on the oral microbial communities of healthy Europeans, and malnourished kids in Niger who develop a devastating facial gangrene known as noma. In 2011 she moved to Forest Rohwer’s lab at San Diego State, where she undertook breath and sputum metabolite analysis to better understand the activity of CF patient microbial communities from Dr. Doug Conrad’s Adult CF clinic at UCSD. Combining information about the genetic potential of a microbial community through DNA sequencing with the activity of the community by metabolite profiling is a powerful approach that Dr. Whiteson hopes to employ in future projects as she begins her own lab at University of California Irvine in Fall 2014.
Claus O Wilke
Professor and Department Chair, Department of Integrative Biology, The University of Texas at Austin. Received his PhD in Theoretical Physics from the University of Bochum, Germany, in 1999. Postdoc at Caltech, 2000-2005.
Zhijin Wu
I develop statistical methodology and software for the analysis of -omics data. I am particularly interested in the regulation of transcription: the molecular mechanism as well as its association with disease.
Xiangyang Xu
Research Geneticist (Plant) at the USDA-ARS Wheat, Peanut, and Other Field Crop Research Unit.
My current interest is in wheat genetics, genomics, and breeding. I focus on wheat pest and disease resistance, including Russian wheat aphid, greenbug, bird cherry oat aphid, leaf rusts, and powdery mildew resistance etc.
Rendong Yang
Dr. Yang is an assistant professor and section leader for cancer genomics at the Hormel Institute. Dr. Yang obtained his PhD in the China Agricultural University, where his work involved the topic of microarray data analysis. Briefly he developed two statistical models, called ARSER and LSPR, to detect periodically expressed transcripts from evenly or unevenly sampled temporal microarray gene expression profiles respectively. By applying these algorithms to Arabidopsis and rice transcriptome, a list of novel clock-controlled genes that regulating plant circadian rhythm were identified. Dr. Yang finished his postdoctoral training at Emory University, where his research switched to cancer genomics and epigenomics. Working with researchers in Winship Cancer Institute, he developed a bioinformatics pipeline to analyze the whole genome mate-pair and pair-end sequencing and RNA-seq data from three tumor cells in multiple myeloma, which leads to discovering a novel SPI-ZNF287 t(11;17) translocation. After postdoctoral training, Dr. Yang joined Supercomputing Institute at University of Minnesota as a Bioinformatics Analyst working on both clinical genomics and prostate cancer research to define and characterize AR gene rearrangements from DNA-seq data, and also to interrogate genome-wide binding profiles of AR and AR variants in prostate cancer cells and tissues.