This is an exciting time for Scientific Computing at Mount Sinai. Advances in computing and data technology have allowed for a new era in scientific and medical discovery. Mount Sinai is leveraging these advantages by investing in massive computational and data engines to help tackle some of science’s most difficult questions. Applying expertise from the high-performance computing world to help our partner scientists and researchers learn more about disease is an extraordinarily satisfying task. As such, Mount Sinai is leading the nation.
Scientific Computing is a powerful tool in research, education, and healthcare delivery. Applying new technology to old problems has enabled new discoveries in medicine. Big data analysis has helped to pinpoint specific treatments resulting in better individualized care. This same analysis can be used to create molecular dynamic simulations allowing for research into non-addictive painkillers. Our partnership with radiology and imaging at Mount Sinai Hospital allows for advances in clinical and transitional science by de-identifying image data resulting in the ability to perform feature extraction, improving computer-aided diagnosis software. The close partnership between the Icahn School of Medicine and Mount Sinai Hospital allows for advances to reach the most important level: patient care.
To help prepare a new generation of medical professionals, Scientific Computing has been a major player in the education of a new crop of researchers. We offer a graduate class in Scientific Computing and have been a driving force in the development of the new Biomedical Informatic Graduate Program. The Masters of Science in Biomedical Informatics degree trains students to be productive members of future biomedical research and clinical teams. With experts in the biomedical informatics and computational fields developing the curriculum students will benefit from a practical approach to take on biomedical questions with computational and data skills. Through National Institute of Health (NIH) funding, we have developed and deployed Community Research Education and Engagement for Data Science (CREEDS) to increase awareness and expertise in big data sets and the tools available.
The opportunities that we can provide as a computational resource enables unique partnerships. The World Trade Center Health Program (WTCHP) Data Center at the Icahn School of Medicine at Mount Sinai and Rensselaer Polytechnic Institute have partnered with Mount Sinai to collaborate on the National Center for Children's Health Exposure Analysis Resource (CHEAR). This will provide a repository of advanced statistical and data science analysis for use by children's health researchers to better understand how environmental exposures affect children's development and health and is funded by the National Institute of Environmental Health Sciences. Mount Sinai is a member of the HPC-NY consortium of higher education institutions whose goal is to promote product innovation and high-tech economic growth in New York.
We are excited to tackle these challenges, and we will bring to bear our significant expertise in scientific computing and data analysis to work towards reducing and preventing disease.
Senior Associate Dean of Scientific Computing