My name is Levi John Wolf. I am a Lecturer/Assistant Professor in Quantitative Human Geography at the University of Bristol’s Quantitative Spatial Science Lab and Fellow with the University of Chicago Center for Spatial Data Science. I work in spatial data science, building new methods and software to learn new things about social and natural processes.
In the past, I’ve worked on detecting gerrymandering, neighborhood dynamics, local models, bayesian computation… a whole gamut of spatial data science topics. In future, I’m broadly interested in figuring out ways to integrate spatial reasoning into data science techniques. This either looks like traditional spatial data science techniques that use augmented spatial information, or involves the development of entirely new spatial statistical models & data science methods.
I’ve worked at Nextdoor and CARTO (twice). Both were great places to work. I’m the author of cenpy, a wrapper for the US Census Bureau data API that discovers & updates itself when the API changes. I also am a co-maintainer of the Python Spatial Analysis Library, author of spvcm(python software to estimate spatially correlated variance components models), and have occasionally contributed to Scikit-Learn.