Brenda Praggastis
Mathematician Data Scientist Web Developer
Renton, Washington, United States
Summary
👤
Senior🎓
Top SchoolBrenda Praggastis is a mathematician-turned-data scientist and web developer with 9 years of experience at Pacific Northwest National Laboratory, where she models large heterogeneous datasets using graphs, hypergraphs, and topological data analysis. She holds a Ph.D. in Mathematics and leverages deep expertise in linear algebra, combinatorics, and algebraic topology to build open-source tools—stewarding PNNL libraries like HyperNetX and DeepDataProfiler—for analyzing complex data with sheaf-theoretic ideas. A former college mathematics faculty member who trained in full-stack development at Ada Developers Academy, she blends rigorous theoretical thinking with practical software engineering and front-end visualization skills. Based in Renton, WA, she has a track record of turning abstract mathematical structures into applied data-analysis pipelines and production-ready code.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of WashingtonMaster's Degree, Mathematics, Master's Degree, Mathematics at Stony Brook University
Github Skills (16)
hypergraph10
igraph10
visual-analytics10
visualization10
graph-analysis10
networkx10
knowledge-graph10
python10
deep-learning7
open-access6
journal6
topological-data-analysis6
neural-network5
creative-commons5
academia5
Programming languages (3)
Github contributions (5)
pnnl/HyperNetX
Oct 2018 - Aug 2022
Python package for hypergraph analysis and visualization.
Contributions:22 releases, 2 reviews, 539 commits in 3 years 10 months
graph-analysisnetworkxpythonvisual-analyticsigraph
pnnl/DeepDataProfiler
Mar 2020 - Nov 2022
Python library for analyzing the internal structure of deep neural networks.
Contributions:1 release, 76 commits, 44 PRs in 2 years 7 months
analyzingpython-librarypythoninternaldeep-learning
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