The Health Data and Design Innovation Center (HD2I) is part of the
newly-formed Institute for Next Generation Healthcare at the Mount Sinai School of Medicine. At HD2I, we build, test and deploy new technologies to support the healthcare system of the future. In tight collaboration with industry and clinical partners, we identify promising new health technologies, find cheap, reliable, and scalable ways to evaluate and improve them, and develop software and analytics tools to integrate them seamlessly into clinical practice.
A healthcare system that learns through practice, breaking down the barriers between scientific research and patient experience.
Noah Zimmerman is the director of the Health Data and Design Innovation Center, and Assistant Professor of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai.
Prior to joining the faculty at Mount Sinai, Noah was a founder and VP of Data Science at a venture backed healthcare startup building a search engine for electronic medical records. Previously, he served as a senior data scientist at Pivotal Software, where he delivered predictive models for multibillion dollar companies in healthcare and biotech. Noah also designed and taught d.science, a graduate course exploring the intersection of design and science at the Stanford d.school.
Noah received his Ph.D. from Stanford in Biomedical Informatics and a B.S. in Computer Science and Philosophy from the University of Maryland, College Park.
Bethany Percha is Assistant Professor of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai and Head of Research and Development at the Health Data and Design Innovation Center (HD2i). Her main research focus is biomedical natural language processing: extracting structured information from the unstructured text of the biomedical research literature and clinical documents.
Beth was formerly VP of Research and Development at Kyron, a venture-backed startup building an information retrieval platform for electronic medical records. She has also served as a technical consultant to four other health technology startups in Silicon Valley, and maintains an active interest in advising early-stage companies. At Stanford, she was part of the design team for a new course on data driven medicine, and taught the machine learning and statistics component of the course for three years.
Beth received her Ph.D. in Biomedical Informatics from Stanford, her M.P.H. in Biostatistics and Epidemiology from the University of Michigan, and her B.S. in Physics, Biochemistry and Math (also from UM).
Ed Baskerville develops software for the Health Data and Design Innovation Center, where he is working on a platform for N-of-1 clinical trials and experimental tools for visually-oriented scientific software development.
Prior to joining HD2i, Ed worked in the Department of Ecology & Evolution at the University of Chicago, where he developed simulation software and statistical methods for computational research in infectious disease ecology. During graduate school he studied the structure and dynamics of ecological networks, and he maintains an interest in complex systems research. Ed’s interest in friendly software development tools dates to a childhood obsession with Apple's HyperCard.
Ed received a B.S.E. in Computer Science with a Minor in Mathematics, an M.S. in Ecology and Evolutionary Biology, and a Ph.D in Ecology and Evolutionary Biology and Scientific Computing, all from the University of Michigan.
Matt Johnson develops software for the Health Data and Design Innovation Center, where he is working on the development of a patient facing mobile application for N-of-1 clinical trials.
Prior to joining HD2i, Matt was involved with a medical start-up where he worked on a variety of projects ranging from regulatory compliance to software development. Matt has always had an interest in the integration of new technologies in healthcare. As part of his Master’s Thesis, he served as the PI of a clinical study to investigate whether a new three-dimensional camera could be used in the detection of rest tremor in Parkinson’s Disease.
Matt received his B.S. in Biomedical Engineering and M.S. in Electrical Engineering from Washington University in St. Louis.
Joel Dudley is a Associate Professor of Genetics and Genomic Sciences, and the Director of the Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai.
Dr. Dudley has more than ten years of experience as a bioinformatics scientist publishing original research in the areas of drug discovery, personal genomics, biomarker discovery, pharmacogenomics, and genomic medicine. He has participated in formative efforts applying disease-associated variants to the clinical assessment of personal genomes and is a co-author of the first academic text for personal genome analysis, Exploring Personal Genomics, which is now used to teach courses in personal genomics and genome interpretation. Dr. Dudley’s precision medicine work at Mount Sinai has been featured by Scientific American, CNBC, Wall Street Journal, Forbes, and other national and international media outlets. His recent work applying a novel precision medicine framework was highlighted by NIH Director Dr. Francis Collins on the NIH Director’s Blog.
Joel received his Ph.D. in Biomedical Informatics from Stanford, and his B.S. in Microbiology from Arizona State University.
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