The Center for Genomic Data Analytics is comprised of a team dedicated to research.
Ron Do, PhD, Director
Ron Do, PhD is Professor in the Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai. His research lies at the intersection of human genetics, statistical genetics and population genetics with a focus on understanding the genetic, biological and clinical basis of human diseases.
Daniel Jordan, PhD, Director of Computational Genomics
Daniel Jordan is a computational biologist who studies the complex relationship between genotype, phenotype, and natural selection. He received his PhD from Harvard in 2015 and completed postdoctoral training at Icahn School of Medicine at Mount Sinai in 2020. His research focuses on developing methods to predict the effects of genetic variants on disease and explore the hidden causal structure underlying disease biology using statistical inference, evolutionary theory, and machine learning.
Ghislain Rocheleau, PhD, Director of Statistical Genetics
Ghislain holds a PhD in Statistics from the University of Montreal. During his postdoctoral training at McGill University, he actively took part in the first Genome-wide association study (GWAS) in type 2 diabetes, and later coauthored several papers in genomic endocrinology. From 2011 to 2016, he was a member of the European Genomic Institute for Diabetes and Maître de Conférences at the University of Lille, France. His research interests focus in the development of new statistical analysis methods applied to genomic data, mainly those generated by genetic association studies.
Ha My Vy, PhD., Research Scientist
Ha My completed her bachelor’s in Theoretical Physics at Hanoi National University of Education in Vietnam and earned her PhD in population genetics at Ewha Womans University in South Korea. During her PhD, Ha My has worked on developing theoretical tools for detecting incomplete selective sweeps from sequence polymorphism and applying them to Drosophila population genomic data. Her current research focuses on investigating the impact of natural selection on human biology and disease and investigating polygenic risk scores for disease.
Ben Omega Petrazzini, B.Sc., Associate Bioinformatician
Ben Omega is a Uruguayan biologist developing machine learning models to predict and characterize complex diseases using clinical records from the Mount Sinai Hospital. His current studies intersect the use of cutting-edge AI models with genetic association studies.