Linda Capito

I am a Research Scientist at the Transportation Research Center Inc., where I work on vehicle safety research focused on Automated Driving Systems (ADS) and Advanced Driver Assistance Systems (ADAS). My work spans the full lifecycle of ADS validation: deploying and tuning open-source autonomy stacks (Autoware.ai/Universe) on Level 4 experimental platforms, building large-scale data pipelines for crash and naturalistic-driving analysis, and developing statistically rigorous frameworks for rare-event risk estimation.

I received my Ph.D. in Electrical and Computer Engineering from The Ohio State University in 2023, advised by Prof. Keith Redmill and Prof. Umit Ozguner at the Control and Intelligent Transportation Lab. My dissertation, “Model-based Falsification and Safety Evaluation of Autonomous Systems,” developed adversarial-scenario generation and dynamic probabilistic risk assessment methods for ADS testing.

Previously I interned at Motional, Oztech Inc., and Takeda Lab at Nagoya University. I earned my Bachelor’s in Electronics and Control from Escuela Politécnica Nacional in Quito, Ecuador, graduating Summa Cum Laude and as the best graduate of the 2015 class.

I am a Fulbright Scholar (2017 to 2019) and was named a 2023 OSU Presidential Fellow, the Graduate School’s most prestigious award.

A full CV/resume is available on request. Please send a note via the contact page.