Mia Ojeda
Machine Learning Engineer at Recursion
Alberta, Canada
Summary
🤩
Rockstar🎓
Top SchoolMia Ojeda is a Machine Learning Engineer with nine years of experience blending academic research and production-grade ML engineering, currently applying her skills at Recursion in Alberta. She holds a PhD in Biophysical Chemistry and has translated that deep scientific expertise into practical ML pipelines for drug discovery, MLOps deployments, and reproducible data versioning workflows. Mia has a strong open-source and testing background, contributing QA and test automation enhancements to matplotlib to improve stability and coverage. Her career spans academia and industry—from developing MDAnalysis tools in Google Summer of Code to implementing DVC-driven collaboration and containerized inference at Cyclica—showing a talent for turning complex science into reliable software. Colleagues value her ability to bridge domain knowledge, clean data practices, and production deployment, and she even finds time to mentor and teach specialized ML-for-biology courses.
9 years of coding experience
5 years of employment as a software developer
Bachelor Science (B.Sc.), Physics, Bachelor Science (B.Sc.), Physics at Universidad Nacional de ColombiaMaster of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Instituto BalseiroDoctor of Philosophy - PhD, Biophysical Chemistry, Doctor of Philosophy - PhD, Biophysical Chemistry at University of Calgary
English, Spanish
Github Skills (8)
data-visualizations10
data-visualization10
data-visualisation10
python10
matplotlib10
testing10
pytest9
test-automation9
Programming languages (5)
Github contributions (5)
matplotlib/matplotlib
Nov 2021 - Dec 2021
matplotlib: plotting with Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 reviews, 10 commits, 3 PRs in 7 days
Contributions summary:Mia focused on enhancing the testing infrastructure for the matplotlib library. They implemented a new test case related to `markevery_prop_cycle`, updated existing tests, and fixed a flake8 issue. Additionally, the user removed a reference to documentation related to `markevery_prop_cycle` and added the font list to the font manager with a unit test. This contribution aimed to improve test coverage and ensure the library's stability.
pythondata-sciencegtkdata-visualizationplotting
MDAnalysis/membrane-curvature
May 2021 - Nov 2022
MDAnalysis tool to calculate membrane curvature.
Contributions:2 releases, 145 reviews, 93 commits in 1 year 5 months
molecular-dynamics-simulationpythoncurvaturecalculatemdanalysis
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