Matt Oddo
PHD Candidate
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolMatt Oddo is a PhD candidate in Information Visualization at UBC with eight years of interdisciplinary experience bridging network science, HCI, and environmental data. His thesis, "Network Visualization with Invariant Plots," introduced novel data structures and encodings for non-attributed graphs, and produced an IEEE TVCG paper on the Census-Stub Invariant Descriptor. He combines rigorous quantitative methods with qualitative fieldwork—previously reconstructing pre-urban coastal habitats using novel 3D data fusion and k-nearest smoothing to reveal significant ecological loss. As president of UBC's CSGSA he launched the campus chapter of the Three-Minute Thesis, reflecting a strong commitment to science communication and community-building. Matt’s background in geosciences and data science enables him to translate complex topologies into actionable visual and computational tools for research and applied domains.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Geological and Earth Sciences/Geosciences, Master of Science - MS, Geological and Earth Sciences/Geosciences at The University of British Columbia
Github Skills (26)
graph-algorithms7
complex-networks6
graph-theory6
python6
sublime-text6
interpretable-machine-learning6
graph-visualization5
graph-analysis5
r-package5
visualization5
network-graph4
algorithm4
network-analysis4
r4
mathematics4
Programming languages (6)
Github contributions (5)
dirediredock/Riskomon
Jul 2024 - Apr 2025
Riskomon is an interactive visualization tool for the exploration of a Rashomon set of scoring system models—that is, a collection of equally-good risk score models—obtained from the FasterRisk algorithm.
Contributions:1 release, 21 PRs, 81 pushes in 9 months
visualizationinterpretable-aiinterpretable-machine-learningvisualization-tool
dirediredock/IcosphereTileEarth
Jun 2021 - Jan 2022
Contributions:50 commits, 49 pushes, 1 branch in 6 months
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