Keith A. Crandall, PhD is the founding Director of the Computational Biology Institute at George Washington University. Professor Crandall studies the computational biology, population genetics, and bioinformatics, developing and testing of Big Data methods DNA sequence analysis. He applies such methods to the study of the evolution of both infectious diseases (especially HIV) and crustaceans (especially crayfish). Professor Crandall has published over 260 peer reviewed publications, as well as three books. He has been a Fulbright Visiting Scholar to Oxford University and an Allen Wilson Centre Sabbatical Fellow at the University of Auckland. Professor Crandall has received a number of awards for research and teaching, including the American Naturalist Society Young Investigator Award, an NSF CAREER Award, a PhRMA Foundation Faculty Development Award in Bioinformatics, Honors Professor of the Year award at Brigham Young University, ISI Highly Cited Researcher, and the Edward O. Wilson Naturalist Award. He was also recently elected a Fellow in the American Association for the Advancement of Science (AAAS) and a Fellow of the Linnean Society of London. Professor Crandall earned his BA degree from Kalamazoo College in Biology and Mathematics, an MA degree from Washington University in Statistics, and a PhD from Washington University School of Medicine in Biology and Biomedical Sciences. He also served as a Peace Corps Volunteer in Puyo, Ecuador.
Dr. Chris Creevey is a Reader in Rumen Systems Biology and theme director of research for Animal and Aquatic Sciences at the Institute of Biological Environmental and Rural Sciences (IBERS) in Aberystwyth University in Wales. His main interests are identifying the genomic factors influencing phenotypic changes in organisms from Bacteria to Eukaryotes. He received his Ph.D. in 2002 from the National University of Ireland for his work in the area of phylogenetics and comparative genomics. Following this he worked as a postdoctoral researcher in NUI Maynooth developing methods of resconstructing supertrees and detecting horizontal gene transfer (HGT) in genomic data. In 2005 he took up a position in the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany. In 2009 he was awarded a Science Foundation Ireland Stokes lecturership in Teagasc Ireland. He took up his current position in 2013.
Professor of Biology and Associate Vice President for Research at the University of Oregon. Research focuses on the genetics and genomics of evolutionary change. Elected Fellow, AAAS.
Xiangqin Cui is an associate professor in the Biostatistics and Bioinformatics Department at Emory University. She received her Ph.D in Genetics at Iowa State University in 2001 and a three-year postdoctoral training in statistical genetics at the Jackson Laboratory afterwards. She spent 13 years at UAB before moving to Emory recently. Her research is on experimental design and data analyses of high-throughput experiments including microarray, next-generation sequencing, statistical genetics/genomics, epigenomics.
Currently Guest Scientist at the Department of Physics at the Humboldt University, Berlin, Germany. Member of the Cardiovascular Physics Lab. Held formerly positions in the Department of Neurology at the University of Magdeburg (Germany) and in the Department of Psychology at the University of Stirling (Scotland, UK).
Dr Melissa Davis is a computational biologist and Laboratory Head in the Bioinformatics Division of the Walter and Eliza Hall Institute of Medical Research. Her background is in genetics and computational cell biology with expertise in the analysis of genome-scale molecular networks, systems biology, and knowledge-based modelling of regulatory networks.
In 2014, Melissa was awarded a four year National Breast Cancer Foundation Career Development Fellowship, and took up a position as Senior Research Fellow in Computational Systems Biology at the University of Melbourne, before moving to the Walter and Eliza Hall Institute for Medical Research as a Laboratory Head in 2016. Melissa specialises in the integration of genomic, transcriptomic, and proteomic data with knowledge-based network models to understand the regulatory logic of mammalian systems.
Professor of Biophysics, Molecular Biophysics, Bioinformatics, and Drug Design at the Pontifical Catholic University of Rio Grande do Sul-Brazil. I'm Frontiers Section Editor (Bioinformatics and Biophysics) for the Current Drug Target and Section Editor (Bioinformatics in Drug Design and Discovery) for the Current Medicinal Chemistry. My research is focused on protein-ligand interactions. I study the interactions between proteins and ligands using methodologies such as molecular docking simulations, machine learning, QSAR, and molecular dynamics.
Dick de Ridder heads the Bioinformatics Group at Wageningen University. His group develops novel computational methods to analyze, interpret and model –omics data, in particular genomics and transcriptomics, and collaborates intensively with various research groups in the green life sciences.
Professor of Structural Biology and Director of the Systems Approaches to Biomedical Sciences Industrial Doctoral Centre at Oxford University.
Professor of Bioinformatics and Systems Biology. Head of the Insititute for Bioinformatics and Translational Research at UMIT, Hall in Tyrol, Austria.
SNSF Professor at the University of Lausanne, Reader at University College London, and Group Leader of the Swiss Institute of Bioinformatics
With a Ph.D. degree in Bioinformatics and a Postdoctoral fellowship in Bioinformatics and Integrative Biology, I am now acting as the Director of Computational Neuroscience in the Harvard-affiliated Brigham and Women's Hospital in Boston, leading the Bioinformatics team working on neurodegenerative diseases. I have 20+ publications with 9000+ citations and H-index of 17. I'm interested in studying the gene transcriptional regulation. In my Ph.D., I discovered the first list of enhancer-like regions coupled in the coding exons, which had largely expanded the sequence space to look for long-range regulatory elements in the human genome (Dong et al. Nucleic Acids Research). I also developed several web-based tools to facilitate the study of the evolution of genomic regulatory blocks among vertebrates (Dong et al. Genome Biology; Dong et al. BMC Bioinformatics). As part of ENCODE project, I have built a sophisticated model to study the association between gene expression and various epigenomic marks in the aspect of different cellular context by integrating ChIP-Seq, RNA-Seq, RNA-PET, CAGE and genomics data (Dong et al. Genome Biology; ENCODE consortium, Nature). ENCODE project was marked as top 10 Breakthrough in Science in 2012. Now I mostly focus on brain genomics and diseases, particularly the non-coding RNAs (miRNA, eRNA, circRNA etc.) in the brain.