Dr. Yina Wu is a Post-doctoral Research Fellow in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. Dr. Wu has worked on real-time crash risk analysis especially under adverse weather conditions for more than four years. She has been working on multiple projects related to real-time crash risk funded by Florida DOT. She has published and presented multiple papers regarding estimating crash risk under reduced visibility conditions by different data sources, which include traffic detector data, trajectory data, driving simulator experiment, and microsimulation experiment. She also has conducted analysis to explore the safety conditions at signalized intersections. In this research, she estimated drivers’ rear-end crash risk at signalized intersections, and proposed countermeasures to reduce rear-end crash risk. In addition, she has also conducted many studies to investigate real-time crash risk under connected and automated Vehicle conditions. Currently, she is a reviewer of Journal of Accident Prevention and Analysis, IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C, Journal of Traffic and Transportation Engineering, Journal of traffic injury prevention, Transportation Research Record, and Journal of Journal of Transportation Safety & Security.