Dr. Mostashari is among the top cited scholars in complexity science in the world and has over 100 peer-reviewed publications in the areas of complexity science and systems thinking. He is a member of the World Economic Forum’s Futures Council. From 2004-2008 he oversaw over $1.2 billion in health, energy, and governance projects in sub-Saharan Africa at UNDP. Dr. Mostasharireceived his Ph.D. in Complex Systems from the Massachusetts Institute of Technology.
Professor Reva’s expertise is in the study of genetic alterations underlying complex human diseases. His research at Mount Sinai focuses on developing and applying computational tools for classification, integration and biomedical interpretation of multi-component molecular profile data. With close to 50,000 citations he is among the top cited scholars worldwide in molecular evolution of diseases.
Dr. Khanin is among the top 20 cited scholars in computational genomics in the world and has over 11,000 citations with highly influential papers published in Nature, the New England Journal of Medicine, Genome, and the American Journal of Pathology. She received her Ph.D. from the Weizmann Institute in Israel in Computational Biology.
Professor Singh is a leader in the field of disease genetics, mitochondrial genetics and “intergenomic” cross talk between mitochondria and the nucleus. One of the top 5 cited scholars on the genetics of the human mitochondria, Dr. Singh is founder of the Mitochondria Research and Medicine Society in the U.S. and the founding editor-in-chief of the journal, Mitochondrion.
In addition to heading the medical informatics division of the institution, Dr. Haberman is a practicing clinician,. She is pioneering the development and implementation of diagnostics technologies, Decision Support systems and Artificial Intelligence based systems for Data analysis and prediction models.
Prof. Rahmandad is the Mitsubishi Career Development Professor and an Associate Professor of System Dynamics at the MIT Sloan School of Management and is a dynamic modeling expert. His research applies dynamic modeling to a broad range of problems in strategy, organizational learning, and public health issues, including modeling of pandemics such as SARS, Ebola, and MERS.
With close to two decades of experience at IBM, Chris Moose is in charge of forming blockchain data networks and enabling open collaboration ecosystems in the health and life sciences field. His expertise is in the area of blockchain, quantum computing, cognitive computing, machine learning and AI, and data lakes.
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