(New York, NY – November 1, 2018) — Adam Margolin, PhD, an internationally renowned computational biologist, has been recruited by the Icahn School of Medicine at Mount Sinai to lead a bold new initiative designed to radically accelerate the pace of therapeutic discovery through integration of large-scale data analysis and advanced genomic technologies.

Dr. Margolin has been named Professor and Chair of the Department of Genetics and Genomic Sciences and Senior Associate Dean of Precision Medicine. He will also lead Mount Sinai's Icahn Institute, which has been renamed the Icahn Institute for Data Science and Genomic Technology. He will lead the new enterprise-wide program that focuses on harnessing huge molecular datasets to predict new therapies for complex diseases by using advanced biotechnologies to rapidly tailor novel therapies to each patient faster than has ever been possible.

"By fundamentally changing the understanding of complex diseases, we can customize diagnosis, prevention, and treatment to individual patients," says Dr. Margolin. "We will bring together the top data scientists, genomic technology innovators, and disease experts who will work side by side every day to understand the molecular causes of complex diseases, rapidly test new therapies derived from these insights, and bring these therapies to patients faster than ever before."

Over the next 10 years, Mount Sinai plans to recruit 30 new faculty members at the cutting edge of data science and genomic technology in addition to 25 data scientists to lead projects aimed at interpreting large-scale biomolecular data; launch cross-institutional, cross-disciplinary projects to discover new precision therapies in core disease areas; build computational infrastructure to enable integration and analysis of data throughout the Mount Sinai health system and beyond; build technology platforms to implement and develop cutting edge molecular profiling and therapeutic testing technologies; and launch educational programs to train top PhD and Masters students in biomedical data science.

"We are creating a program built for the way science will be done in the future. The traditional academic model, organized around siloed individual labs, cannot achieve the speed, agility, and integration we need to advance biomedical research of today. Our program will be built from the outset to enable world class data scientists, technology innovators, and disease experts to advance large-scale team-oriented goals that could not be achieved in a more traditional model."

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