Vladyslav Oles
Research Assistant Professor at University of Idaho
Portland, Oregon, United States
Summary
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Senior🎓
Top SchoolVladyslav Oles is a Research Assistant Professor and mathematician with 11 years of experience applying computational geometry, network science, and machine learning to large-scale scientific problems. He has a strong track record in research-to-production software: authoring a Python library for the Gromov–Hausdorff distance, contributing a Scikit-TDA module, and building an MPI-based package for Boolean network analysis. His work at national labs and universities spans anomaly detection in 20TB time-series, graph-based discovery of cancer mutation combinations, and prototyping GNN architectures that improved benchmark accuracy. Comfortable across Python, C++, CUDA, and distributed systems, he pairs rigorous theoretical training (PhD in Mathematics) with pragmatic engineering that has benchmarked supercomputers and produced high-precision ML models. Based in Portland, he is also an open-science advocate and electronic music enthusiast, reflecting a curiosity-driven approach to research and tooling.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Washington State UniversityIgor Sikorsky Kyiv Polytechnic Institute
Stackoverflow
122reputation
10kreached
5answers
5questions
Github Skills (51)
topology10
representations10
gtk10
matplotlib9
qt9
python9
data-visualization9
client-library8
synchronous8
geometric8
python-client8
dask8
simulations8
boolean8
pydata8
Programming languages (2)
Github contributions (5)
vlad-oles/dgh
May 2023 - Mar 2025
Computing the Gromov–Hausdorff distance
Contributions:1 PR, 50 pushes, 1 branch in 1 year 10 months
boolsi/boolsi
Jan 2020 - Sep 2022
Distributed simulations and analysis of synchronous Boolean networks
Contributions:1 release, 10 commits, 38 pushes in 2 years 8 months
simulationssimulationboolean-networksbooleansynchronous
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