Ola Rønning
Head Of IT Operations
Oslo, Norway
Summary
🤩
Rockstar🎓
Top SchoolOla Rønning is Head of IT Operations based in Oslo with 11 years of technology leadership experience overseeing infrastructure and operational excellence. He combines a formal background in datamatiker studies with extensive vendor certifications and project management training, enabling pragmatic, process-driven delivery in complex IT environments. Ola is also an active contributor to probabilistic programming projects such as Pyro and NumPyro, where he implemented and stabilized advanced angular distributions (von Mises variants), reflecting uncommon depth in statistical modeling for an IT ops leader. Known for improving numerical stability and test coverage, he brings a developer’s rigor to operations, bridging the gap between production reliability and research-grade algorithmic work. Colleagues describe him as a steady operator who pairs systems thinking with hands-on contributions to open-source tooling.
11 years of coding experience
Datamatiker, Datamatiker at Niels Brock Copenhagen Business CollegeCopenhagen Business SchoolCertification of Completion, Certification of Completion at Vmware Education ServicesMS6421A, MS6421A at Global KnowledgeProject Management Leadership, Project Management Leadership at Rockwool UniversityEMC Education ServicesTopcomVideregående skole, Videregående skole at Dillner og Støens vgsDell Online Self Dispatch Policies and Procedures Certification, Dell Online Self Dispatch Policies and Procedures Certification at Dell education servicesTrondheim Økonomiske Høgskole
English, Danish, Norwegian
Stackoverflow
81reputation
2kreached
3answers
0questions
Github Skills (25)
pytorch10
probabilistic-programming10
python10
data-modeling10
machine-learning10
distributions10
statistic10
stat10
numpy10
probabilistic-reasoning10
bayesian10
statistical-models10
probabilistic-models10
jax10
bayesian-inference10
Programming languages (5)
Github contributions (5)
pyro-ppl/numpyro
Jun 2020 - Dec 2022
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Role in this project:
Data Scientist
Data ScientistContributions:205 reviews, 28 commits, 69 PRs in 2 years 6 months
Contributions summary:Ola primarily contributed to the development and implementation of a von Mises distribution within the probabilistic programming framework. They implemented the distribution's log probability, rejection sampler, and tests, including mean and variance calculations. Further contributions involved refactoring code, renaming variables, and optimizing code structure, indicating a focus on statistical modeling and algorithm development. The user's work demonstrates a deep understanding of statistical distributions and their application within a Bayesian inference context.
pythonautomatic-differentiationbayesian-inferencetpucpu
pyro-ppl/pyro
May 2021 - Dec 2022
Deep universal probabilistic programming with Python and PyTorch
Role in this project:Data Scientist
Data ScientistContributions:51 reviews, 5 commits, 7 PRs in 1 year 7 months
Contributions summary:Ola primarily contributed to the development and refinement of probabilistic distributions within the Pyro probabilistic programming framework. Their work focused on the `SineBivariateVonMises` and `SineSkewed` distributions, including implementing new features, addressing numerical stability issues, and fixing potential errors. They also updated documentation and tests related to these distributions, demonstrating a focus on improving both functionality and usability. This suggests a strong emphasis on extending the capabilities of Pyro for modeling angular data.
pytorchpythondeep-learningbayesian-inferenceprobabilistic-modeling
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