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Joel Dudley is currently Associate Professor of Genetics and Genomic Sciences and founding Director of the Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai. In March, 2018 Dr. Dudley was named Executive Vice President for Precision Health for the Mount Sinai Health System (MSHS). In 2017 he was awarded an Endowed Professorship by Mount Sinai in Biomedical Data Science. Prior to Mount Sinai, he held positions as Co-founder and Director of Informatics at NuMedii, Inc. and Consulting Professor of Systems Medicine in the Department of Pediatrics at Stanford University School of Medicine. His work is focused at the nexus of -omics, digital health, artificial intelligence (AI), scientific wellness, and healthcare delivery. His work has been featured in the Wall Street Journal, Scientific American, MIT Technology Review, CNBC, and other popular media outlets. He was named in 2014 as one of the 100 most creative people in business by Fast Company magazine. He is co-author of the book Exploring Personal Genomics from Oxford University Press. Dr. Dudley received a BS in Microbiology from Arizona State University and an MS and PhD in Biomedical Informatics from Stanford University School of Medicine.
Jason Bobe is Associate Professor, Director of the Sharing Lab at the Icahn Institute for Genomics and Multiscale Biology, and Director of Democratized Health Innovation at the Institute for Next Generation Healthcare at the Mount Sinai School of Medicine. He attempts to produce research efforts that people actually want to join. He works on prototyping collaborative and participatory models of biomedical research and citizen science. With a focus on (a) greatly expanding the rates of participation in organized health research, (b) broadening the types of contributions participants in research are able to make, (c) promoting discovery & engagement through participant-centered research design (d) building research networks and communities of practice around emerging technologies. At Mount Sinai, he is a leader of the Resilience Project, an effort to learn how some people are able avoid disease despite having significant risk factors.
Patricia Savi Glowe is the Director of Operations for the Institute for Next Generation Healthcare (INGH) in the Icahn School of Medicine Mount Sinai, and the Director of Strategy & Operations fotr the Presicion Health Enterprise (PHE) in the Mount Sinai Health System. She leads the organization and development of research programs and directs operational efforts supporting the entirety of INGH, PHE, and associated centers. She joined Mount Sinai's Department of Genetics and Genomic Sciences in January 2013 and began her current work with Dr. Dudley in the Fall 2014. Her work at Mount Sinai has supported research in rare genetic disorders, lab and consumer device validation, skin disorders, Lyme Disease, and precision wellness. Prior to Mount Sinai, she managed clinical research operations for the Neurology research group at Standford University.
In recent years and with the growth of INGH and PHE, her personal research interests have expanded to explore new ways of utilizing emergin technologies for advancements in personalized treatment models, longitudinal service for individual care, and system optimization for both patient and provider. These new opportunities in clinical care offer a path towards a future medicine that is patient centric, focused on wellness and prevention, while being affordable and accessible to everyone.
Brian Kidd is an Assistant Professor of Genetics and Genomic Sciences as well as the Director of the Center for Systems Medicine at the Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai. Dr. Kidd’s current research is focused on developing technologies and computational tools to identify biomarkers and molecular signatures of cancer, allergy, autoimmunity, and other immune-mediated conditions. As a pioneer in the field of “systems immunology,” his mission is to develop predictive models of the immune system that can help solve critical issues for the health of individuals and populations. He received a BS in Bioengineering from the University of California, San Diego, an MS in Mechanical Engineering from Stanford University, and a PhD in Bioengineering from the University of Washington.
Lyme disease is a complex disorder that involves multiple tissues and organ systems, and arises from dynamic interactions between host and pathogen. The natural history of disease is vexing, with acute infection leading often to chronic neurological, immune, and musculoskeletal dysfunction. We aim to develop a Multiscale Integrated Network model of Lyme Disease (LymeMIND) that will represent a unified, predictive network model of Lyme disease that enables systems medicine approaches to identify biomarkers and therapies.
Li Li is an Assistant Professor with over 15 years experience in clinical research and translational bioinformatics involving genetic and clinical risk factor identification, diagnostic assay development, and newtherapeutic targets discovery. Her expertise is in translational research by integrating high-throughput genomics, genetics, various molecular measurements, and electronic medical records data with over 60 peer-reviewed publications including Science Translational Medicine, PNAS, Nature Methods, Nature Biotechnology, and JASN.
Matteo Danieletto holds a B.Sc., an M.Sc. in Computer Science Engineering and a Ph.D. in Telecommunication Engineering from the University of Padova, Italy, in 2007, 2009, and 2013. During the academic year of 2012/2013, he was on leave at the University of California San Diego (UCSD). In 2014, he started a Postdoc at University of Padova, and from July to October 2014 he was on leave at UCSD. From May 2015 to May 2016 he was a Postdoc at UCSD. His research interests were related to the Internet of Things (IoT), wireless communication and Software Defined Networking (SDN). From June 2016, he joined the Institute of Next Generation Healthcare (INGH) at Mount Sinai Hospital in New York City, NY, as a biomedical software engineer. His current research includes the application of machine learning techniques to wearable devices, designing algorithms to extract features from heterogenous time-series, and data architect. In the last year, he spent part of his time with Arnhold Institute for GlobalHealth to develop a multi-purpose platform called ATLAS to monitor Zika virus in Guatemala, and Lyme in domestic soil.