Advisory Board and Editors Mathematical Biology
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent systems from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 80 peer-reviewed papers and has been a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
Joseph Felsenstein
Joe Felsenstein is Professor of the Department of Genome Sciences and in the Department of Biology, and adjunct Professor in the Department of Statistics and in the Department of Computer Science and Engineering at the University of Washington, Seattle. Past President of the Society for the Study of Evolution. Recipient of the Weldon Memorial Prize, the Darwin-Wallace Medal of the Linnean Society of London, the John J. Carty Award for the Advancement of Science from the National Academy of Sciences and of the 2013 International Prize for Biology of the Japan Society for the Promotion of Sciences. He is a Member of the American Academy of Arts and Sciences and the National Academy of Sciences. On the Editorial Board of five journals.
He describes himself as "world-renowned for my outstanding modesty".
Daniel Fischer
I studied Statistics and Computer Sciences at the Technical University of Dortmund, Germany. During that time, my interest was particularly in mathematical statistics with a focus on high-dimensional extensions of the univariate median. After graduating, I moved to Tampere, Finland and completed my PhD in at the University of Tampere in Biostatistics with minor Bioinformatics.
While still being enrolled as PhD student at the University I started to work as a researcher in Bioinformatics at the MTT, Jokioinen, Finland. Since 2015 I am working at the Natural Resources Institute Finland (Luke) where I finalized my PhD.
My published articles in peer-reviewed journals cover a wide range of applications as well as statistical theory. My areas of expertise are target gene detection, biomarker identification and novel gene detection with a special focus on long non-coding RNAs. Further, I have experiences in the development of statistical methods for DE testing as well as deriving novel non-parametrical tests for (e)QTL analyses. I published and maintain currently six R-packages, i.e. for (e)QTL testing, cross-species ortholog detection and dimension reduction methods.
Karl J. Friston
Karl Friston is Professor of Imaging Neuroscience/Wellcome Principal Research Fellow, Faculty of Brain Science, University College London. In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, Collège de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Society of Biology in 2012.
Simon DW Frost
Reader in Pathogen Dynamics at the University of Cambridge; formerly Adjunct Associate Professor in the Dept. of Pathology, University of California San Diego (UCSD). Graduated with a BA in Natural Sciences (1st class), Trinity College, Cambridge (1992), DPhil in Mathematical Biology, Merton College, Oxford (1996). Postdoctoral positions at Princeton University, Oxford University, University of Edinburgh and UCSD. Awards include: NATO Postdoctoral Fellowship (1996), MRC Nonclinical Training Fellowship (1997-2000), a Royal Society Wolfson Research Merit Award (2008-2013), and Thomson-Reuters Highly Cited Researcher awards in 2014, 2015, and 2016.
Joshy George
Associate Director fo Computational Sciences, The Jackson Laboratory for Genomic Medicine, CT, USA. Previously worked at the Peter MacCallum Cancer Center in Melbourne Australia and at the Genome Institute of Singapore.
Leonardo L Gollo
Leonardo is a Senior Research Fellow with training in Neuroscience and Physics. He works on Neuroscience, Computational Biology, Connectomics, and Complex Systems. His research focuses on computational and mathematical models of brain function.
Sunetra Gupta
Professor of Theoretical Epidemiology in the Department of Zoology at the University of Oxford. Recipient of the Zoological Society of London Scientific Medal and the Royal Society Rosalind Franklin Award. Member of European Advisory Board of Princeton University Press.
Alan Hastings
Distinguished Professor of Environmental Science and Policy. Fellow of the American Academy of Arts and Sciences. Former President of the Society for Mathematical Biology and Editor of the Encyclopedia of Theoretical Ecology.
Sungho Hong
Group leader in Computational Neuroscience Unit at Okinawa Institute of Science and Technology; Senior Fellow in the Department of Physiology and Biophysics at the University of Washington, Seattle; PhD in Physics (Theoretical High Energy Physics) from University of Pennsylvania
Stephen P Hubbell
Distinguished Professor of Ecology and Evolutionary Biology, UCLA, and Senior Staff Scientist, Smithsonian Tropical Research Institute; Founding Chair, National Council for Science and the Environment, Washington, D.C.; Co-founder, Center for Tropical Forest Science; Fellow, American Academy of Arts and Sciences: Fellow, American Association for the Advancement of Science; 2016 Laureate, International Prize in Biology, Japan Society for the Promotion of Science
Goo Jun
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.