Andrew Kasarskis

Data Science & Life Sciences Strategy

Andrew generates value from innovation, data, and analytics in the life sciences. He has expertise in modeling biological systems, genomics, bioinformatics, diagnostics, pathogen surveillance, and human health.

About

Andrew Kasarskis advises life science and health care organizations with strategy and operations at the intersection of science, technology, and business leveraging his broad experience in data science, pharma, health care delivery, diagnostics, and academia.

He served as Executive Vice President and Chief Data Officer for the Mount Sinai Health System and then at Sema4, Mount Sinai's diagnostics and data science spinout now known as GeneDx. At both organizations his responsibilities for effective use of data spanned the entire enterprise from R&D through support for current operations in patient care, business innovation, and long-term strategy.

Before his system-wide role at Mount Sinai, Dr. Kasarskis launched the Icahn Institute and grew the Genetics Department inside the Icahn School of Medicine at Mount Sinai as Co-Director and Vice Chair. Prior to Mount Sinai he held positions at Pacific Biosciences, Sage Bionetworks, Merck, and DoubleTwist, all focused on getting value from novel science and technology by building R&D organizations that drove business impact.

He has contributed to basic and applied research in diverse areas, including pathogen surveillance, autoimmune conditions such as inflammatory bowel disease and asthma, viral infections, and primary prevention of chronic disease.

Andrew holds a PhD in Molecular and Cellular Biology from the University of California, Berkeley as well as a BS in Biology and a BA in Chemistry from the University of Kentucky.

Core Areas

  • Data Science
  • Systems Biology
  • Genomics
  • Genetics
  • Pathogen Surveillance
  • Diagnostics
  • Life Sciences R&D
  • Life Sciences Strategy

Publications Andrew has published extensively in both the development of new computational and laboratory techniques for understanding biological systems and their application. For a full list of publications, please see Kasarskis A - PubMed.