Yoni Nazarathy
Associate Professor
Brisbane City, Queensland, Australia
Summary
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Rockstar🎓
Top SchoolYoni Nazarathy is an Associate Professor at the University of Queensland with nine years of formal experience and a PhD in Statistics, Operations Research and Applied Probability. He blends rigorous applied mathematics and data science with practical systems thinking, focusing on stochastic operations research, scheduling, resource allocation and optimisation. As co-founder and former managing director of One on Epsilon, he translated theory into practice by building a free content delivery product (Epsilon Stream) aimed at connecting parents, teachers and students through curiosity-driven math content. Yoni also consults at Accumulation Point and contributes to open-source projects—applying Julia for statistical simulation and visualization on repositories such as h-Klok/StatsWithJuliaBook. His background spans academia, industry R&D and defence software, giving him a rare combination of theoretical depth and production-grade engineering insight. Colleagues describe him as a researcher-educator who intentionally bridges formal analysis with accessible educational tools.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Operations Research and Applied Probability (Mathematics), Doctor of Philosophy (PhD), Statistics, Operations Research and Applied Probability (Mathematics) at University of Haifa
English, Hebrew, Dutch
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
data-visualizations10
statistics10
machine-learning10
data-visualization10
data-visualisation10
julialang10
julia10
statistical-models9
simulations9
simulation9
Programming languages (8)
Github contributions (5)
h-Klok/StatsWithJuliaBook
Jun 2020 - Mar 2021
Role in this project:
Data Scientist
Data ScientistContributions:99 commits, 94 pushes, 11 comments in 9 months
Contributions summary:Yoni primarily contributes to the project by implementing and refining statistical models using the Julia programming language. Their commits focus on creating and comparing different statistical methods, including estimates utilizing common random numbers (CRN). The user has demonstrated the ability to apply these techniques by generating plots and simulations. The user's work is primarily focused on statistical analysis, simulation, and visualization.
juliajulia-languagemachine-learningstatistics
yoninazarathy/MATH7502-2020
Jul 2020 - Nov 2020
Contributions:31 commits, 27 pushes, 1 branch in 3 months
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