Feng Guo

Feng Guo is a Professor of Statistics and Patricia Caldwell Faculty Fellow at Virginia Tech's College of Science, with a joint appointment as Lead Data Scientist at the Virginia Tech Transportation Institute. His research focuses on transportation safety, naturalistic driving studies, and statistical methodology development. He holds dual Ph.D.s in Statistics and Transportation Engineering from the University of Connecticut (2007/2010), as well as M.S. and B.S. degrees from Tongji University.

His work examines crash risk factors using large-scale naturalistic driving datasets, with notable contributions to understanding cellphone distraction impacts, driver aging, and automated vehicle safety. He leads statistical methodologies in transportation safety analysis, including Bayesian hierarchical models and causal inference frameworks. His research has been widely cited in media outlets like CBS, NBC, and NPR.

Professional service includes chairing the ASA Transportation Statistics Interest Group and serving on Transportation Research Board committees (ABJ80, ANB20). Honors include the Taylor Technical Talent Award (2015) and Gottfried Noether Award (2004). His lab integrates computational statistics, spatial analysis, and machine learning to address complex transportation safety challenges.

Key contributions include analyzing over 70 million miles of naturalistic driving data from the SHRP2 study, developing risk assessment models for automated vehicles, and evaluating driver fitness metrics for older populations. Current work focuses on smartphone-based safety services, real-time risk prediction, and AI applications in transportation safety.