Keynote Speakers :
“A gene-regulatory network map of cardiometabolic disease
unmasks major adipose-to-liver endocrine signaling
affecting plasma lipid and blood glucose levels”
Johan L. M. Björkegren, M.D., Ph.D.
Clinical Science Officer, Professor in Genetics and Genomics Sciences, Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Personal introduction:
At the Icahn Institute for Data Science and Genomic Technology, we use systems genetics that combines epidemiology, genomics, proteomics, and metabolomics to study cardiovascular diseases (CVDs). Our goal is to better understand the molecular landscape of regulatory networks acting within and across metabolic and vascular tissues that causes CVD in humans. (https://icahn.mssm.edu/research/genomics/research/cardiovascular-research)
At the Icahn Institute for Data Science and Genomic Technology, we use systems genetics that combines epidemiology, genomics, proteomics, and metabolomics to study cardiovascular diseases (CVDs). Our goal is to better understand the molecular landscape of regulatory networks acting within and across metabolic and vascular tissues that causes CVD in humans. (https://icahn.mssm.edu/research/genomics/research/cardiovascular-research)
“Mathematical Modeling of Cell-Extracellular Matrix Interactions to Explain Collective Cell Behavior and Cell Migration”
Roeland Merks, Ph.D.
Professor of Mathematical biology, Leiden University
Personal introduction:
Roeland Merks is Professor of Multiscale Mathematical Biology at Leiden University. Merks’ research interests concern the systems biology of pattern formation in multiscale, multicomponent biological systems, focusing in particular on vascular development and microbial ecosystems. For this he combines mathematical and computational modelling, often based on hybrid Cellular Potts models, with experimental work based on cell culture approaches.
Roeland Merks is Professor of Multiscale Mathematical Biology at Leiden University. Merks’ research interests concern the systems biology of pattern formation in multiscale, multicomponent biological systems, focusing in particular on vascular development and microbial ecosystems. For this he combines mathematical and computational modelling, often based on hybrid Cellular Potts models, with experimental work based on cell culture approaches.
“Can we Trust Large Computer Models of Biological Systems”
Michael Stumpf, Ph.D.
Chair for Theoretical Systems Biology Melbourne Integrative Genomics Schools of BioSciences and of Maths & Stats, University of Melbourne
Personal introduction:
Michael Stumpf is a professor of theoretical systems biology at the University of Melbourne. His research focuses on using mathematical, statistical and computational methods to understand how cells make decisions, and how we can influence their decisions in biomedical and biotechnological applications.
Michael Stumpf is a professor of theoretical systems biology at the University of Melbourne. His research focuses on using mathematical, statistical and computational methods to understand how cells make decisions, and how we can influence their decisions in biomedical and biotechnological applications.
“Multi-tissue Multi-omics Systems Biology of Cardiometabolic Diseases”
Xia Yang, Ph.D.
Associate Professor, Department of Integrative Biology and Physiology, UCLA
Personal introduction:
Dr. Yang is a tenured Associate Professor in the Department of Integrative Biology and Physiology and Institute of Quantitative and Computational Biosciences at UCLA. With training in systems genetics and bioinformtics, Dr. Yang’s research group develops and applies systems biology approaches that integrate multidimensional big data to dissect the molecular networks underlying diverse complex diseases and utilize the systems level networks to guide therapeutic development.
Dr. Yang is a tenured Associate Professor in the Department of Integrative Biology and Physiology and Institute of Quantitative and Computational Biosciences at UCLA. With training in systems genetics and bioinformtics, Dr. Yang’s research group develops and applies systems biology approaches that integrate multidimensional big data to dissect the molecular networks underlying diverse complex diseases and utilize the systems level networks to guide therapeutic development.