Charlie Catlett is a computer scientist who has focused his research for nearly 40 years in the development of the Internet and WorldWideWeb, computer security, and high-performance computing, holding scientific leadership positions at multiple universities and national laboratories. During the past decade his research has focused on the use of computational modeling and artificial intelligence (AI) embedded with sensors to create new classes of environmental measurements and urban planning capabilities. Recently he has also used AI-based data analysis to assess community vulnerability to factors ranging from communicable disease to impacts of climate change, such as flooding and extreme temperatures. He has received numerous awards for his research and leadership, including being named to Crain’s “Tech 50” leaders in Chicago in 2014, GovTech magazine’s national “25 Doers, Dreamers & Drivers” of 2016, and as a Distinguished Performer in 2019 by the Board of Trustees of Argonne National Laboratory and the University of Chicago. Charlie is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign.