Naresh Sundar Rajan, Ph.D.

Naresh Sundar Rajan, Ph.D., is the Chief Data Officer at CyncHealth. In this role, he supports data quality and modernization projects and oversees the operations of the health data utility. Dr. Rajan leads a team of HIT professionals focused on projects designed to improve data democratization, health data infrastructure and interoperability, patient matching, data science, and data quality. His leadership was instrumental in deploying a state-wide contact tracing solution for the COVID-19 pandemic at the State of Nebraska. He has also architected scalable machine-learning models for predicting COVID-19 trajectories.

Before joining CyncHealth, Dr. Rajan was a Project Director and Co-Investigator for the Bureau of Justice Assistance (BJA) grant toward integrating prescription drug monitoring program (PDMP) data into linked analytical data infrastructure for the State of Utah. He also served as a senior health informaticist for the State of Utah and as a research developer at the University of Utah's Center for Clinical and Translational Science. Dr. Rajan has published scholarly articles about scalable data quality assessment frameworks for health care, patient matching, opioid data democratization, and promoting FAIR principles-based Learning Health Systems.

Dr. Rajan serves as a Vice-Chair for the Prescription Monitoring Information eXchange (PMIX) Standards Organization's Technical Architecture Subcommittee. He also served on the Health Informatics Focus Panel organized by the American Medical Informatics Association (AMIA), which focuses on comprehensive practice analysis of health informatics professionals nationwide. Dr. Rajan is an HIE representative with the Gravity Project for developing Social Determinants of Health Standards. He also serves Project US@, which aims to establish standards for United States Address meta-data for patient matching. Dr. Rajan leads ONC's pilot project in US standards for address matching to enhance patient matching algorithms and develop standard metrics to compare across multiple standards.

He holds a doctorate in biomedical informatics from the University of Utah and a master's in computer science from Fairleigh Dickinson University.