Maria del Rio-Chanona is an Assistant Professor at University College London, Computer Science Department. Her research draws from network science, Large Language Models (LLM), as well as Agent-Based Models (ABM) to study the economic and employment impacts of the net-zero transition, the Covid-19 pandemic, and (Gen)AI.

Before joining UCL, she was a James S. McDonnell Foundation (JSMF) postdoctoral fellow at the Complexity Science Hub from June 2021 to October 2023 and a Visiting Fellow at the Growth Lab at the Harvard Kennedy School. Maria has a PhD in mathematics from Oxford University, where she was part of the complexity economics group of the Institute for New Economic Thinking, Oxford Martin School. Her undergraduate studies were in physics at UNAM, Mexico. Maria has worked alongside international policy organizations, including the International Monetary Fund and the International Labour Organisation.

Maria del Rio-Chanona has been a member of the External Faculty of the Complexity Science Hub since January 2025.