Janos G. Hajagos, PhD
Research Assistant Professor and Chief of Data Analytics
Department of Biomedical Informatics
Stony Brook University
Stony Brook, NY 11794
Dr. Janos G. Hajagos is Chief of Data Analytics and Research Assistant Professor in the Department of Biomedical Informatics at Stony Brook University. He is the lead data scientist across several quality initiatives at Stony Brook Medicine and for the Suffolk Care Collaborative’s DSRIP award. Before his current position he was the Associate Director of Data Computation in the Division of Applied Informatics. There he was integral in several data analytic applications and the development of production web applications for the New York State Department of Health’s Medicaid Program. Dr. Hajagos has published and presented his informatics work at a range of national conferences. He received his PhD in Ecology and Evolution in 2005 from Stony Brook University.
Dr. Hajagos's current areas of research in biomedical informatics can be divided into two areas. The first is applying machine learning approaches to quantify patterns of health care utilization. This includes the application of graph databases and algorithms to EMR and administrative health care data sets. The second is the application of semantic technologies to bridge disparate sources of information. Dr. Hajagos has been developing tools to adapt and utilize the UMLS to find novel links between basic science researchers and clinicians.
Marshall M.S., R. Boyce, H. F. Deus, J. Zhao, E. L. Willighagen, M. Samwald, E. Pichler, J. Hajagos, E. Prud’hommeaux, S. Stephens. 2012. Emerging practices for mapping and linking life sciences data using RDF — A case series. Web Semantics: Science, Services and Agents on the World Wide Web 14:2–13 http://www.sciencedirect.com/science/article/pii/S1570826812000376
Samwald, M., A. Jentzsch, C. Bouton, C.S. Kallesøe, E. Willighagen, J. Hajagos, M.S. Marshall, E. Prud’hommeaux, O. Hassenzadeh, E. Pichler, S. Stephens. 2011. Linked open drug data for pharmaceutical research and development. Journal of Cheminformatics 3:19.
ORCID Profile: http://orcid.org/0000-0001-6251-9586