COVID-19 has turned an entire generation into epidemiology enthusiasts, but the field’s modern origins date back to an iconic mystery in 1800s London. Since that time, the field has blossomed in directions that its founder never could’ve dreamed, using data from social media, satellite imagery, and more in advanced systems of differential equations and machine learning, statistical, and agent-based models. This talk will discuss the origins of epidemiology and discuss the development of modern computational and mathematical epidemiology, as well as some related offshoots like modeling political instability and the spread of misinformation.