Chris von Csefalvay

Chris von Csefalvay is a clinical computational epidemiologist, data scientist & AI expert with an interest in AI and data-driven technologies for the modeling, identification and prevention of epidemics. His work at the intersection of AI/ML, computational dynamics and public health has attracted significant media and public attention, especially during COVID-19. He is the author of Computational Modeling of Infectious Disease, a richly illustrated compendium on modern computational epidemiology, as well as a growing body of research. His investment interests focus on early-stage ventures in the health AI field, especially those that promise innovative technological solutions to public health problems in resource-constrained environments, global infectious disease surveillance, prodromic surveillance, behavioural analytics and early detection.