Nora Franceschini, MD, MPH, University of North Carolina, USA
Dr Nora Franceschini is a Professor of Epidemiology at the University of North Carolina at Chapel Hill, USA. She is a board certified nephrologist and a genetic epidemiologist. Her research focuses on genomics/multi-omics studies of cardiovascular and kidney diseases in diverse populations. She is a convener of the TOPMed Kidney working group, and the co-founder and moderator of the CHARGE COGENT-Kidney Consortium and the COGENT-Blood Pressure Consortium, which prioritize genomics research in diverse populations.
Michael Preuss, PhD, Icahn School of Medicine at Mount Sinai, USA
Michael Preuss is an accomplished expert in Medical Informatics and Bioinformatics, and has dedicated over fifteen years to genomics and genetics, focusing on high-throughput human genotyping. His work has contributed to initiatives like GIANT and CARDIoGRAM, where he has analyzed genetic data from significant biobanks including the UK Biobank and Mount Sinai's BioMe Biobank. Dr Preuss’ research has been geared towards a better understanding of diseases such as diabetes and coronary artery disease, and strives to inform the development of new treatments and interventions. Currently, he leads the Bioinformatics Unit at the Charles Bronfman Institute for Personalized Medicine, at the Icahn School of Medicine at Mount Sinai, which aims on advancing personalized healthcare by harnessing genetic insights.
Paul de Vries, PhD, University of Texas, USA
Paul de Vries is an Associate Professor at the University of Texas Health Science Center at Houston. He obtained his PhD from the Erasmus Medical Center, Rotterdam, and then moved to Houston for postdoctoral training in the use of whole genome sequencing data. He works on unraveling the genetic determinants of hemostatic factors, coronary artery disease, and other cardiometabolic phenotypes. In addition to locus discovery, he is particularly interested in approaches such as Mendelian randomization and polygenic risk scores. Most of this research takes place within collaborative consortia such as the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) and the Trans-Omics for Precision Medicine (TOPMed) program.
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