Dr. Williams leverages more than 35 years of expertise in bio-molecular testing and large-scale public health initiatives, including service on the National Scientific Review Board for the Human Genome Project. His extensive background in directing advanced pathogen detection research and emerging technology evaluation, combined with his leadership of the Armed Forces DNA Technology Development Program, uniquely positions him to spearhead Health-Sentinel AI’s next-generation AI-driven pandemic prediction systems.

Dr. Blackburn is a medical geographer with a research focus on zoonotic disease transmission and persistence. He has worked on anthrax ecology since 2003 and the spatial ecology of brucellosis since 2006. He has worked on both disease systems across the world, including Africa, Southeast Asia, the Former Soviet Union, and North America. Dr. Blackburn leads a project in Vietnam focused on the spatio-temporal patterns of melioidosis in humans and livestock and pathogen characteristics across the region.

Dr. Southworth’s research interests are based on the study of social-ecological systems within the field of Land Change Science, Geospatial Science and GeoAI. Her particular foci are: remote sensing of vegetation dynamics with a focus on time-series and AI approaches to remotely sensed analyses and linkages with climatic drivers; linking changes in land use and land cover change to their respective drivers with a focus on land change modeling; the implications of scale and scaling in remote sensing and modeling analyses; addressing linkages and drivers of change as they relate to people and parks; and modeling of the impacts of climate change and changing climate variability on human-environment systems and vegetation dynamics.

Victor Kuhns founded Hoonify Technologies in 2021 after 27 years as a supercomputing systems engineer with Cray Research and DOE’s Sandia National Laboratories. His contributions were renowned for his involvement in design, management, and optimization of Top 500 DOE supercomputers such as the iconic Intel ASCI-RED and Cray Red Storm systems. A trailblazer in advanced architectures, he validated personal supercomputer prototypes over a dedicated two-year period through the Department of Energy, Department of Defense, and the US Intelligence Community, allowing complex problems to be solved in unique environments.

Dr. Herrero’s research interests are based on the study of human-environment interactions within the field of Land Change Science through the use of remote sensing technologies. Her research is undertaken with highly interdisciplinary research teams, which involve both physical and social scientists. Within such interdisciplinary teams, Dr. Herrero’s particular strengths lie in the remote sensing of vegetation dynamics; land use and land cover change; the implications of scale and scaling in remote sensing and modeling analyses; and people and parks. Her work of understanding environmental change has a particular concentration on conservation and protected areas, as well as savanna science.