Tianchi Liu is a Data Scientist on the Environmental Mapping team at Spatial Informatics Group who is passionate about supporting sustainable development with all things data. Her skills include statistical and spatial analyses, data computing, data collection, data management, as well as visualization, and she uses them at SIG to support an NSF research on the social and environmental impact of forest management policies in the Mekong region. Tianchi also contributes to the easy-to-access analytics tools on Cal-Adapt Analytics Engine, a platform that tailors climate projection data for the California electricity sector to create a more resilient grid.

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. Tianchi also holds a Google Cloud Professional Data Engineer Certification