I am an infectious disease epidemiologist with training in Medicine (Amsterdam) and Global Disease Epidemiology (Johns Hopkins). I am Assistant Professor in the Departments of Epidemiology and Biomedical Informatics. My research in the fields of computational epidemiology and population health informatics aims to improve the efficient use of information for public health action. I aim to improve the discovery and integration of data for population health research, both by humans and machines. I also use large-scale public health data to study the spatial-temporal spread of infectious diseases. I lead multiple large-scale population health informatics projects, including Project Tycho, an open-access repository for global disease surveillance data (NEJM, New York Times, Wall Street Journal). I also direct the Coordination Center of the Models of Infectious Disease Agents Study (MIDAS) funded by the National Institute of General Medical Sciences. MIDAS is a global network for infectious disease modeling central to the current COVID-19 modeling response. We work with researchers around the world and with health agencies, including the US Centers for Disease Control and the World Health Organization. My disease expertise concentrates on vaccine-preventable diseases and vector borne diseases in countries around the world (NEJM, PNAS, NIH Director’s Blog).