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.
Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.
PhD in genetics from Karolinska Institute, Sweden. Research according to an overarching theme of my research is the use of high-throughput omics to bridge the gap between research and medicine. My initial interest was in expression quantitative trait loci (eQTL), and their possibilities for translating genetics to medical use. This followed a further step into actual industrial drug and pharmacogenetics development from the technique, performed at Novo Nordisk, Denmark. Current interests focus on further translation of main genetics results into actual use both in the clinical context of response stratification and in the industrial context of drug development.
Dr. Berghout received her PhD in Biochemistry from McGill University in Montreal, QC where she researched the genetics of complex traits and susceptibility to infectious disease in humans and mouse models. Following that, she spent three years as the Outreach Coordinator for the Mouse Genome Informatics (MGI) database in Bar Harbor, ME. There, she trained researchers in genetics, genomics, data structures and data mining to answer biological questions, and worked closely with other members of the MGI group to develop and optimize the MGI resource. Now her research interests include genetics of all kinds, personalized medicine, big data, and scientific communication. She is currently pursuing projects in precision medicine for analysis of transcriptome data from patients with rare lung diseases (Sarcoidosis, Coccidiomycosis), and integrative network analysis of complex traits including Alzheimer's Disease. She is currently appointed at the University of Arizona's Center for Biomedical Informatics and Biostatistics (CB2) and The Center for Genetics and Genomic Medicine (TCG2M) in Tucson, AZ.
Head of Conservation and Research at the National Botanic Garden of Wales and Senior Lecturer at the Institute of Biological, Environmental and Rural Sciences (IBERS) at Aberystwyth University.
Dr. Sushanta Deb earned his Ph.D. in Evolutionary Microbial Genomics. During his early postdoctoral research, he focused on microbial ecology, microbiomes, probiotics, and comparative genomics. He later served as a Project Scientist at AIIMS Delhi, India. Currently, as a Postdoctoral Associate at Washington State University (WSU), USA, his research primarily centers on comparative genomics and metagenomics.
Head of the Coastal and Estuarine Environment Research Group, Port and Airport Research Institute. My research interests include biogeochemical cycling in shallow coastal waters, nutrient and oxygen fluxes across the sediment-water interface, nutrient and oxygen dynamics in sediments, analysis of foodwebs using carbon and nitrogen stable isotope ratios, CO2 sequestration and carbon storage by shallow coastal ecosystems, feeding ecology and foraging behaviour of shorebirds, conservation, restoration, and creation of intertidal flat ecosystems, development stage of created intertidal flat ecosystems, dynamics of benthic microbes, macroinvertebrates, and shorebirds in created intertidal flat ecosystems, and response of created intertidal flat ecosystems to varying environmental conditions
Thulani Makhalanyane is an Associate Professor in the Department of Biochemistry, Genetics and Microbiology and undertakes research at the Centre for Microbial Ecology and Genomics. His research has focused almost entirely on understanding the ecology of microbial communities in extreme environments.
Prof. Ramamoorthy is a Professor of Chemistry a Robert W Parry Collegiate Professor of Chemistry and Biophysics at the University of Michigan, Ann Arbor. He holds or has held the positions listed below.
Associate Director of Biophysics and an elected fellow of AAAS.
Hans Fischer Senior Fellow, Technical University of Munich, 2015
Rackham Faculty Recognition Award, 2012
American Association for the Advancement of Science Fellow, 2009
Japan Society for the Promotion of Science Fellow, 2009
Willsmore Fellow, University of Melbourne, Australia, 2009
NSF Career Development Award
Distinguished Visiting Professor, Osaka University (2005)
Distinguished Visiting Professor, Kyoto University (2008)
Distinguished Visiting Professor, Max-Planck Institute, Mainz (2009)
Dominik Wodarz is Professor in the Department of Ecology and Evolutionary Biology at University of California, Irvine. The subject area of his research is theoretical / mathematical biology, with emphasis on infectious disease, the immune system, cancer, and evolutionary dynamics. His studied Biology at Imperial College, London, and obtained his PhD from the University of Oxford.
I’m an Assistant Professor of Biomedical Informatics and Biological Sciences at Vanderbilt University. My group's research is centered around developing and applying computational methods to large, noisy datasets in order to quantify, model, and understand dynamic biological systems. We are particularly interested in the mammalian circadian system.
Spyros Papageorgiou’s main scientific interests encompass biological and mechanical aspects of orthodontic treatment, giving emphasis in improving treatment outcome and reducing treatment duration and side-effects. His focus is on evidence-based orthodontics founded on systematic reviews with conventional meta-analysis or network meta-analysis of randomized clinical trials, clinical trials assessing the comparative effectiveness or adverse effects of different orthodontic treatment modalities, factors influencing the length and outcome of orthodontic treatment, sources of bias in clinical research in orthodontics, optimization of treatment mechanics to enhance their efficiency by investigating clinical scenarios with numerical (finite element) simulations, and the effect of health and systematic diseases on the biology of orthodontic tooth movement.