Osvaldo Martin
Research Fellow at Aalto University
Finland
Summary
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Rockstar🎓
Top SchoolOsvaldo Martin is a research-focused software engineer and Research Fellow with 14 years’ experience building open-source tools for Bayesian statistics and probabilistic modeling. He contributes deeply to flagship projects in the PyMC ecosystem (pymc, arviz, bambi) where he has implemented distributions, model-comparison metrics (WAIC/LOO), GP examples and visualization utilities used by the community. His work spans the full Bayesian workflow—from prior elicitation and inference algorithms (including SMC and Laplace approximations) to diagnostics, model criticism and presentation—reflecting both research rigor and production-minded engineering. Based in Finland, he combines academic roles and industry-facing positions (e.g., Principal Data Scientist at PyMC Labs) and frequently translates advanced methods into educational notebooks and reproducible examples. A less obvious strength is his knack for refactoring and infrastructure work that keeps scientific libraries maintainable and accessible across releases.
14 years of coding experience
11 years of employment as a software developer
Universidad Nacional de San Luis
Github Skills (40)
data-visualizations10
bayesian-statistics10
notebook10
variational-inference10
visualization10
back-end-development10
python10
jupyter10
data-science10
testing10
plugin-development10
statistics10
machine-learning10
data-visualisation10
jupyterlab10
Programming languages (11)
Github contributions (5)
BayesianModelingandComputationInPython/BookCode_Edition1
Aug 2021 - Jan 2023
Role in this project:
Data Scientist
Data ScientistContributions:3 reviews, 82 commits, 101 PRs in 1 year 4 months
Contributions summary:Osvaldo's commits primarily focus on updating and expanding the code examples within the notebooks. Their work includes re-running code with the latest releases, merging and reordering content, and adding new chapters, such as a chapter on Bayesian Additive Regression Trees (BART). They also fix typos, incorporate changes to improve code readability, and include solutions.
aloctavodia/BAP
Nov 2016 - Jan 2023
Bayesian Analysis with Python (Second Edition)
Role in this project:Data Scientist
Data ScientistContributions:113 commits, 26 PRs, 103 pushes in 6 years 2 months
Contributions summary:Osvaldo's commits primarily involve implementing and refining Gaussian Process (GP) models within the context of a Bayesian analysis with Python (Second Edition) repository. Their work focuses on creating and modifying example notebooks demonstrating GP applications. Specific contributions include the development of a simple GP example, the removal of an incorrect kernel, and the plotting of standard deviation bands, all of which showcase an understanding of GP models and their implementation. The commits show the user is working with the pymc3, arviz and bayesian-analysis.
data-analysispythonbayesian-inferenceerratabayesian-analysis
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