Rachel Li supports survey research and data analysis efforts at RSG. She brings experience in both qualitative and quantitative methods, including statistical modeling and behavioral data analysis. Her work includes survey design, implementation, data interpretation, and ridership forecasting for projects that inform transportation planning across the United States.
Rachel contributes to large-scale data collection efforts using location-aware tools such as rMove® and supports model development through segmentation analysis and visualization. Her work has informed travel behavior studies for regional and state agencies and supported ridership forecasting and market analysis initiatives.
Outside of work, Rachel enjoys traveling and exploring new cultures. She is also passionate about scuba diving and sports, which help her stay active and balanced.
Education
- MS, Applied Psychology, Tianjin Normal University, China
- BS, Applied Psychology, Guangzhau University of Chinese Medicine
