The Office of Data Science and Emerging Technologies (ODSET) coordinates the development and implementation of NIAID’s data science strategy across its entire global portfolio of research and training programs. The overall goal of the office is to enable the efficient use of data and computational methods to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases. Read more about ODSET.
Wilbert van Panhuis, M.D., Ph.D.
Senior Scientific Officer
Director, NIAID Office of Data Science and Emerging Technologies
M.D., Free University Medical Center, The Netherlands
Ph.D., Johns Hopkins University
Reed S. Shabman, Ph.D.
Ph.D., University of North Carolina – Chapel Hill
Sydney Foote, M.P.H. [C]
B.S., M.P.H., University of Michigan
Meghan Hartwick, M.Sc., Ph.D. [C]
M.Sc., Tufts University
Ph.D., University of New Hampshire, Durham, NH
Lisa Mayer, M.P.H [C]
M.P.H., University of Michigan
Sepideh Mazrouee, M.S., Ph.D.
M.S., University of Texas at Dallas
Ph.D., University of California Los Angeles
John J. McGowan, M.S., Ph.D. [C]
Data Science Consultant
M.S., Ph.D., University of Mississippi
Javier Perez-Fuentes [C]
ODSET is currently hosting four Emerging Leaders in Data Science Fellows: Fausto Andres Bustos Carrillo, Linh Shinguyen, Rahul Subramanian,and Diego Seira. More details about current and past Fellows, how fellows are furthering the NIAID mission through data science, and applying to the Fellowship are available on the Emerging Leaders in Data Science Fellowship Program page.
A listing of previous staff can be found on Data Science Career Paths.
Given the global reach of the NIAID research community, ODSET aims to advance data science for infectious and immune-mediated disease research worldwide. Areas of emphasis for ODSET include:
- Providing centralized leadership and vision for the role of data science in accelerating research in top NIAID strategic areas, including research on HIV, tuberculosis, malaria, influenza, COVID-19, and many other areas of emphasis
- Developing new research and training initiatives that include data science methods, approaches, and technologies in close collaboration with the seven NIAID intramural and extramural divisions and with colleagues in the NIAID Office of the Director
- Improving the discovery, access, and use of NIAID relevant data for computational analytical methods, following the FAIR (Findable, Accessible, Interoperable, and Reusable) principles as a roadmap
- Advancing the use of data science methods and technologies, such as AI, for improved preparedness against emerging infectious diseases and pandemic threats jointly with colleagues from across NIAID and the US Government
- Providing scientific expertise in data science subdomains, such as artificial intelligence, systems modeling, informatics research, (meta)data representations and interoperability, cloud-based technologies, and data repositories, as well as their applications, to NIAID research and training programs
By way of its broad mission, ODSET supports all NIAID initiatives towards the discovery of new diagnostics, therapeutics, and vaccines to address some of the largest global health threats of our time.