Principal Investigators

Trenton W. Ford

Dr. Trenton W. Ford

Dr. Ford, Assistant Professor of Data Science at William and Mary, is the Director of the Ford AI and Society (FAIS) Lab. His lab focuses on computational disinformation, network science, the societal impacts of AI, and Human-Digital Twins. Dr. Ford oversees two DARPA initiatives, driving research into Human-AI Teaming (HAT), Human-digital Twins (HDTs), and evaluations of LLMs. Dr. Ford also contributes to the field through numerous science outreach and science communication efforts.

Michael Yankoski

Dr. Michael Yankoski

Dr. Yankoski earned his PhD from the University of Notre Dame’s Kroc Institute for International Peace Studies and has since enjoyed two Postdoctoral Research Associate positions at Notre Dame’s Department of Computer Science and Engineering as well as at the Davis Institute for Artificial Intelligence at Colby College. He joins the FAIS Lab as a Research Faculty helping steer research initiatives that utilize Large Language Models for HAT (Human and AI Teaming) experimentation as well as large scale population simulation research.

Graduate and Affiliated Researchers

Steve Morse

Steve Morse

Advisors: Dr. Dan Miller Runfola and Dr. Trenton W. Ford

Research Interests: Generative AI; network modeling; stochastic processes.

Educational Background: Education: USMA '08 (BS Mathematics), MIT '17 (MS Operations Research).

Tyson Walsh

Tyson Walsh

Advisors: Dr. Dan Miller Runfola and Dr. Trenton W. Ford

Research Interests: Natural Language Processing; Labor Economics; Calculus.

Educational Background: USMMA Kings Point '08 (BS Marine Engineering Systems), RPI '18 (MS Applied Mathematics).

Undergraduate Researchers

Al Romero

Al Romero

Al is a senior majoring in Chemistry and Data Science. He is interested in interdisciplinary research with data science and chemical biology. He has worked on population-accurate data generation for the Human-digital Twins project.

Katy Lenshin

Katy Lenshin

Katy is a Junior majoring in Data Science and Classics. She is interested in the intersection between Data Science and language, and is conducting research to analyze news narratives using tools from the Complex Human Simulation Project.