The last decade at Mount Sinai has overseen an expansion of research, including landmark discoveries for human health. Mount Sinai's robust computational and data science ecosystem and domain experts have played a crucial role enabling this enhanced research productivity.
I remember the excitement at the loading docks as our first supercomputer, Minerva, arrived in 2012. Over the years, Mount Sinai has invested significantly to keep our computational and data capabilities state-of-the art. We are excited that we have unveiled an updated version of Minerva with over 1.2 petaflops of compute power in 2019. NIH has also contributed through two awards for a Big Omics Data Engine (BODE) in 2014 and a BODE2 in 2019. Our computational and data scientists are experts at the intersection of several scientific domains, and partner directly with researchers to efficiently and effectively leverage our ecosystem. Their expertise, along with our computational and data capacity and capability is one of the reasons why Mount Sinai is such a great place to advance science.
With the advent of Minerva, researchers were quick to see its potential and integrate it into their workflow. Together, we were able to conceive more ambitious projects and craft more complex simulations in the fields of genomics, psychiatry, oncology, and many others. Today we support over $100 million per year in research funded by the National Institute of Health.
We thrive on the exchange of information and experiences. We invite you to talk to us and see how we can assist you in your next discoveries.
Senior Associate Dean of Scientific Computing and Data Science