Levi Wolf
Associate Professor Of Spatial Analysis
Bristol, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLevi Wolf is an Associate Professor of Spatial Analysis at the University of Bristol and an affiliated Fellow at the University of Chicago Center for Spatial Data Science, bringing 12 years of experience blending academic research with industry consulting. He develops methods and software in spatial data science to reveal social and environmental processes that are only apparent when geography is taken into account, with applied work on gerrymandering detection, neighborhood change, affordable housing, species distribution, and routing/optimization for urban logistics. Levi has contributed code to major open-source projects like SciPy—improving sparse linear algebra and MST algorithms—and to PySAL, enhancing documentation and usability for spatial practitioners. He pairs Bayesian computation and statistical modeling expertise with practical deployments at Nextdoor, CARTO, and MondialRelay/InPost, making him comfortable moving between rigorous research and production problems. An American expat based in Bristol, he is available for consulting on spatial analysis, geographic data science, and optimisation/operations research.
12 years of coding experience
3 years of employment as a software developer
B.S., Geography, Political Science, B.S., Geography, Political Science at Arizona State University
German
Github Skills (16)
algorithm10
data-structures10
sparse-matrix10
algorithms10
scipy10
spatial-analysis10
python10
scientific-computing10
data-structure10
linear-algebra10
documentation10
numpy10
geojson9
jupyter-notebook9
visualization8
Programming languages (11)
Github contributions (5)
pysal/pysal
Oct 2014 - Jul 2018
PySAL: Python Spatial Analysis Library Meta-Package
Role in this project:
Data Scientist
Data ScientistContributions:4 releases, 184 commits, 130 PRs in 3 years 10 months
Contributions summary:Levi contributed to the documentation and added examples to a Python Spatial Analysis Library (PySAL) met-package. Their contributions include fixing typos in the documentation, adding example presentations, and improving the structure and organization of the documentation. The user’s work also involved fixing a problem related to a mapping function in the library, suggesting a focus on usability, clarity, and practical application of the library's features for users.
meta-packagepythonspatial-analysispysalspatial
scipy/scipy
Jun 2020 - Jun 2020
SciPy library main repository
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 reviews, 1 commit, 5 PRs in 1 day
Contributions summary:Levi contributed to the SciPy library by modifying existing code and adding new functionality. Their work included enhancing sparse array operations, such as making the result of divide(sparse,dense) sparse and preserving the sparsity pattern. They also implemented a matrix power function in the sparse linear algebra module and added a stable sort to the minimum spanning tree algorithm. In addition, the user worked on documentation by introducing a new sparse array user guide page.
scipypythonscientific-computing
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