Dr. Ray Saeidi is an Associate of Cambridge Systematics with over 18 years of experience in transportation engineering. Holding a Doctorate in Transportation Engineering, he possesses expertise in various domains, including travel demand modeling, advanced statistical and econometric analyses, transit planning and ridership forecasting, transportation network analysis, and simulation. He has collaborated on numerous projects involving big data in transportation for entities in the U.S. and other nations, such as the FHWA, state DOTs, and ports and maritime organizations. This includes working with location-based data, GTFS data, commercial vehicle data, and high-resolution traffic signal data. He is experienced with travel demand models of several U.S. states and proficient in software applications such as CUBE and TransCAD. Utilizing programming and data science, Dr. Saeidi engineers scalable solutions to address real-world transportation challenges. For both research and practice, he has developed customized simulation models in Python and R, ensuring a nuanced approach to problem-solving.

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