As a veterinary epidemiologist I specialize in dairy cattle infectious diseases and welfare. I received my veterinary medicine degree from Cairo University (1998), practiced for two years before completing the Food Animal Production Medicine Internship at the Caine Veterinary Teaching Center at the U of Idaho, followed by the Food Animal Reproduction and Herd Health Residency at U of California, Davis. I completed my masters and doctoral degrees at UC Davis in Preventive Veterinary Medicine and Epidemiology, respectively.
Professor in Scientific Computing; Training as an evolutionary biologist working with water frogs in the Mediterranean Sea; Distributor of the Bayesian population genetics inference program MIGRATE.
Interested in computational biology, in particular in computational population genetics and phylogenetics
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.
Chris Brown is a clinical trial bio-statistician at the NHMRC Clinical Trails Centre at the University of Sydney. His main area of expertise is in oncology trials but also has experience in cardiology and neonatal research. His main areas of research are in pharmacoepidemiology and statistical methods.
Associate Research Professor of Statistics & Biostatistics at Rutgers University, with adjunct appointments in the Deptartment of Genetics and the Center of Alcohol Studies. Particular interest in how statistics is applied, especially in Biology, Medicine, and particularly Human Genetics.
Epidemiologist at the DAFM Ireland, and an Honorary Lecturer at the School of Biological Sciences, Queen's University Belfast, UK. My research interests are primarily focused on infectious disease in wildlife and domestic hosts, wildlife ecology and management, and the concept of "one health".
Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.
My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.
Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.
Assistant Professor of Biostatistics, Mayo Clinic. Ph.D., University of Pennsylvania. My research concerns the development and application of powerful and robust statistical methods for high-dimensional "omics" data, arising from modern high-throughput technologies such as microarray and next-generation sequencing. I am particularly interested in methods for microbiome sequencing data. Much of this effort is motivated by ongoing collaborations in projects that study the role of the human microbiome in disease pathogenesis using metagenomic sequencing.
Research interests include statistical genetics, genomics and metagenomics; and high-dimensional statistics.
I am a tenure-track Assistant Professor of Medicine and a member in Center for Computational Biology and Bioinformatics at Indiana University School of Medicine (IUSM). Before joining IUSM, I spent two years as an Assistant Professor in Harrison School of Pharmacy at Auburn University. I received a BS from China majoring in Bioinformatics in 2009; a MS in Biostatistics and another MS in Computer Science from the Johns Hopkins University in 2011 respectively. After that, I obtained my PhD in Computer Science and Informatics at Emory University in 2017. I also interned in CareerBuilder Data Science and Amazon Machine Learning in Summer 2014 and 2015 respectively.
Gary has research interests primarily focussed on statistical (and reporting) aspects in developing and validating multivariable prediction models. He has published over 100 papers on clinical trials, observational studies, systematic reviews, quality of life, propensity scores and prediction models.
Gary is a statistical editor ("hanging committee") for the BMJ.
Gary also led the development of the TRIPOD Statement for reporting clinical prediction models - www.tripod-statement.org.
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.