Revolutionise Your Approach
Leverage modern geospatial models like high-resolution street network data to model epidemics in real populations.
Respond to outbreaks better by using mathematical optimisation for resource allocation in response to pathogen models.
Simulate realistic large populations and complex behaviours using agent-based modeling.
About the Author
I'm a computational epidemiologist/data scientist working at the intersection of computational science, public health and AI. Board certified in public health, my work on COVID-19 has been featured in national media and television, and I'm the author of a number of peer-reviewed papers on the subject. I'm passionate about the power of computational models to change the world of epidemiology for the better and help us respond faster to epidemic threats. You can read more about me here.
Chris von Csefalvay
CPH FRSPH FRSA MTOPRA