Nicholas Marko, MD
Chief Data Officer, Geisinger
Maximizing the potential applications of an organization’s information and freeing its data from constraints that impede end-user access are the driving forces behind the work of Dr. Nicholas Marko. He is a clinical neurosurgeon who has evolved into a leading healthcare data strategist and executive-level proponent of data-driven innovation.
In 2014 Nick was named Geisinger’s first CDO to craft and implement the organization’s comprehensive strategies and standards for data access, integration, maintenance, governance, dissemination, and analysis. He also serves the department head of Data Science and Data Engineering, chair of the Enterprise Data Strategy Steering Committee, co-director of High Performance Computing, and a member of the Institutional Review Board. Through these roles, he strives to create a culture of “yes” around enterprise data.
Nick completed undergraduate and medical school at the George Washington University, followed by fellowship training and research at the University of Cambridge Department of Applied Mathematics & Theoretical Physics and the Cancer Research UK Cambridge Cancer Institute, as well as a neurosurgical oncology fellowship at the MD Anderson Cancer Center in Houston, Texas.
In addition to his data and informatics responsibilities, he is also a practicing neurosurgeon focused on the surgical management of patients with malignant brain and spine tumors.
Named a “young investigator on the rise” by Genome Technology Magazine, a “healthcare hero” by Crain’s Cleveland Business, and one of “healthcare’s top data-driven geeks” by Healthcare IT News, Nick’s data and informatics thought leadership has been featured in the Washington Post, Modern Healthcare, and other leading publications. He has also regularly published and been a featured speaker on clinical and translational neurosurgery topics, as well as topics such as the role of the chief data officer, enterprise data strategy and valuation, data modeling, integration of multimodality data sets, and practical issues related to healthcare econometrics.