Academic Editors
The following people constitute the Editorial Board of Academic Editors for PeerJ. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
Dawn E Bowles
Dr. Dawn Elizabeth Bowles, PhD is Assistant Professor in Surgery within the Division of Surgical Sciences at Duke University School of Medicine. She obtained her Ph.D. in Microbiology from Louisiana State University.
George M. Coupland
Director of the Max Planck Institute for Plant Breeding Research, Cologne, Germany. Recipient of several honours, the most recent being election to the National Academy, USA in 2012.
Hong-Wei Sun
Chief, Biodata Mining and Discovery Section, OST, IRP, NIAMS, NIH
Twenty years of experience in Bioinformatics since post-doc at Yale, where I solved the x-ray crystal structure of a cytokine (MIF). Developed and implemented in recent years a significant number of NGS data analysis pipelines and methods with emphasis on ChIP-Seq, ATAC-Seq, RNA-Seq, scATAC-Seq, scRNA-Seq, Enhancers & Super Enhancers, and AI/ML. Co-authored more than 60 NGS data-based publications since 2010, including 33 in high impact journals such as Nature, Science, Cell, Nature Immunology, Science Immunology, Nature Cell Biology, Nature Structural Biology, Immunity, Molecular Cell, and PNAS. A founding member of four Bioinformatics groups. Co-author of two published Java programs. Also a co-author of a Medical Bioinformatics textbook and a co-inventor of nine issued patents.
Anita E Wluka
Anita is an Associate Professor in the School of Public Health and Preventive Medicine, Monash University, and a Clinical Rheumatologist, Alfred Hospital, Melbourne.
Recognised as a world-leader in osteoarthritis research, Anita is based at The Alfred hospital where she combines research with clinical practice as a physician. Her work has contributed to guidelines for managing hip and knee osteoarthritis developed through the Royal Australasian College of General Practitioners National Health and Medical Research Council.
Lai-Hua Xie
Associate Professor at Rutgers-New Jersey Medical School, Editor of American Journal of Medical and Biological Research, Dataset Papers in Biology, Frontiers in Physiology, Journal of Cardiovascular Disease Research, PLOS One, World Journal Of Hypertension, and World Journal of Cardiology.
Xing Li
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).
Sam Griffiths-Jones
Professor of Computational Biology, Faculty of Biology, Medicine and Health, University of Manchester. Manages the miRBase database of microRNA sequences. Founded the Rfam RNA families database. Interested in RNA structure, function and evolution.
Beth Polidoro
Beth Polidoro is an Associate Professor of Environmental Chemistry and Marine Conservation, as well as serving as the Deputy Director for the Center for Biodiversity Outcomes at Arizona State University. Her primary research interests are in risk assessment and applied toxicology within the context of marine and freshwater biodiversity conservation, human health, and sustainable development. Dr. Polidoro has a broad background in the marine, chemical and environmental sciences. Before to coming to Arizona State University, she was a senior research associate with the International Union for the Conservation of Nature (IUCN), where she worked with scientists around the globe to quantify the impacts of anthropogenic threats on more than 20,000 marine species, for inclusion on the IUCN Red List of Threatened Species. She currently works on various marine and freshwater conservation initiatives and both ecological and human health risk assessments in the United States, Latin America, Africa and Oceania.
Shoba Ranganathan
Shoba Ranganathan holds a Chair in Bioinformatics at Macquarie University since 2004. She has held research and academic positions in India, USA, Singapore and Australia as well as a consultancy in industry. She hosted the Macquarie Node of the ARC Centre of Excellence in Bioinformatics (2008-2013). She was elected the first Australian Board Director of the International Society for Computational Biology (ISCB; 2003-5); President, Asia-Pacific Bioinformatics Network (2005-2016) and Steering Committee Member (2007-12) of Bioinformatics Australia. She currently serves as Co-Chair of the Computational Mass Spectrometry (CompMS) initiative of the Human Proteome Organization (HuPO), ISCB and Metabolomics Society and as Board Director, APBioNet Ltd. Shoba’s research addresses several key areas of bioinformatics to understand biological systems using computational approaches. Her group has achieved both experience and expertise in different aspects of computational biology, ranging from metabolites and small molecules to biochemical networks, pathway analysis and computational systems biology. She has authored as well as edited several books in Immunoinformatics as well as contributed several articles to the Encyclopedia of Systems Biology, published by Springer in 2013. She is currently Editor of Elsevier's Reference Module in Life Sciences and Editor-in-Chief of Elsevier's Encyclopedia of Bioinformatics and Computational Biology.
Jeroen AA Demmers
Team leader Proteomics Center & Assistant Professor Erasmus University Medical Center Rotterdam
Education:
EUR Fellow, Erasmus University Medical Center
Postdoc, The Rockefeller University (Chait lab)
PhD, Utrecht University (Heck & Killian labs)
MSc (hons) Chemistry, Utrecht University
Brett Trost
Dr. Brett Trost is a Scientist in the Molecular Medicine Program at the Hospital for Sick Children, Toronto, Canada. He is a computational biologist with a particular interest in human genetics.
Rony Huys
I am a Principal researcher at The Natural History Museum, London and currently President of the World Association of Copepodologists (WAC).
Copepods are the dominant metazoan group in the marine plankton, are extremely abundant in marine and freshwater sediments and are parasites on virtually every phylum of animals from sponges to chordates.
The main theme of my research is the systematics and comparative anatomy of free-living and parasitic copepods, and the application of phylogenetic reconstruction to examine their evolution and ecological radiation, using morphology and molecular markers. Copepods are one of the best models to study fundamental phenomena like the evolution of parasitism and the marine-freshwater transition, and to test fundamental hypotheses such as the claim of oligomerization being the predominant mode of character transformation in Crustacea, and the enemy release hypothesis in invasion ecology.
I have also developed an interest in examining the relationships of lesser known and molecularly under sampled crustacean lineages such as the Mystacocarida, Pentastomida, Branchiura and Tantulocarida.