Data Science and Health Informatics

The Data Science and Health Informatics program at the Consortium for Translational and Precision Health (CTPH) leverages advanced infrastructure and methods to drive precision health through translational informatics. It enables integrated data science workflows across clinical care, public health, and population-level settings. By supporting the research community in informatics, the program ensures that investigators have the tools, skills and resources needed to transform complex data into actionable insight.

General Consultation: The CTPH Health Informatics program supports researchers in the following areas:

  • Identifying appropriate data sources, such as electronic health record and population-level databases

  • Managing clinical and operational datasets

  • Connecting with the right experts

  • Addressing data sharing and data governance needs

Program Leadership

  • Co-Lead, Operations

    Dr. Davila is a professor of medicine and health services research and serves as assistant dean of research, research informatics and data integration at Baylor College of Medicine. She directs the Translational Research and Population Health course, co-directs the National Institutes of Health (NIH) and Department of Veterans Affairs (VA) Big Data Scientist postdoctoral fellowship program and leads the Data and Methods Core of the national VA Coordinating Hub, which promotes research to optimize veteran-centric electronic health record networks.

  • Co-Lead, Innovations

    Dr. Kakadiaris is the Hugh Roy and Lillie Cranz Cullen University Professor of computer science at the University of Houston. His research focuses on using AI methods to analyze data and improve health care. He also chairs the Gulf Coast Consortium on AI in Health Care.

  • Dr. Zouridakis is the Claude E. Shannon Professor in the Cullen College of Engineering at the University of Houston and the founding director of the Biomedical Imaging Lab. He has clinical training in intraoperative neurophysiology. His work advances AI‑enabled, data‑driven health technologies at the intersection of engineering and medicine, with an emphasis on detecting mild traumatic brain injury and developing translational software tools for skin‑disease screening and cardiovascular health monitoring.

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