Professional Experience
Postdoctoral appointments and doctoral research tenures focusing on autonomous vehicle safety, traffic analytics, and smart city infrastructure.
Mar 2024 – Present
Advisor: Mohamed Abdel-Aty
Postdoctoral Scholar (Quantitative Safety Analytics)
University of Central Florida
- Led cross-functional safety analytics workstreams for the Florida Department of Transportation, defining and standardizing safety-performance metrics from connected-vehicle and naturalistic driving data.
- Secured KRW 73.5 million in competitive funding as principal investigator and used causal forests to quantify heterogeneous effects of vehicle automation on risk perception across 926 participants and 1,325 near-miss clips.
- Built and automated Python and SQL ETL and analytics pipelines for multi-terabyte datasets from 1,000+ intersections, standardizing risk-metric generation and recurring reporting.
- Developed uncertainty-aware evaluation workflows for autonomous-driving vision-language models using conformal prediction, identifying context-specific calibration failures in safety-critical driving QA.
Mar 2023 – Feb 2024
Advisor: Dong-Kyu Kim
Postdoctoral Researcher (AV Safety Systems)
Seoul National University
- Led research on real-time infrastructure-to-vehicle (V2I) safety information systems for the Korean National Police Agency.
- Defined safety-critical scenarios and operational safety criteria for infrastructure-assisted autonomous-vehicle safety evaluation.
- Integrated physics-based conflict metrics into analysis workflows to systematically evaluate infrastructure-assisted AV behaviors.
Mar 2018 – Feb 2023
Advisor: Dong-Kyu Kim
Graduate Research Assistant
Seoul National University
- Developed generalized quantitative risk-assessment methods for autonomous-vehicle lane changes and collision avoidance using field theory, Bayesian networks, reliability analysis, and surrogate safety measures.
- Secured and led a KRW 96.1 million Global Ph.D. Fellowship, developing and validating probabilistic AV risk-assessment methods for lane changes, collision avoidance, and driver-level crash risk.
- Published peer-reviewed research on autonomous-vehicle risk assessment, probabilistic crash risk, and traffic-conflict analysis.
Education
Ph.D., Civil & Environmental Engineering (Transportation), 2023
Seoul National University
B.S., Civil & Environmental Engineering, 2018
Seoul National University