Tianchi is a data scientist who is passionate about supporting sustainable development with all things data. Her work at SIG spans statistical and spatial analyses, data collection, data management, and visualization. Prior to joining SIG, Tianchi has helped a small team of city planning scientists and technologists with writing about statistical methods and coding spatial data analyses. She has also prototyped an interactive graph maker and a web map for City of Dallas staff to visualize the city’s historical water quality data. Tianchi received her Bachelor’s degree with the highest distinction in statistics from UC Berkeley in 2021. At UC Berkeley, she did research for two and a half years at the Environmental Systems Dynamics Lab, where she applied a data-driven approach to study hydrological processes, and analyzed the sensitivity of the approach to data characteristics and preprocessing methods.