Randy Olson
Co-Founder & CTO at Wyrd Studios
Anacortes, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRandy Olson is a serial founder and technical leader with 14 years of experience building AI systems that bridge research-grade models and real-world workflows. As Co-Founder & CTO at Goodeye Labs and founder of Wyrd Studios, he focuses on making domain experts first-class participants in AI quality assessment and shipping privacy-first, human-centered automation. His background ranges from pioneering AutoML with TPOT during a postdoc to building production DNA-methylation pipelines and patented mortality-risk models at FOXO, demonstrating an uncommon mix of research, product, and regulated-industry delivery. A full-stack data scientist and active open-source contributor, Randy has shipped practical tools like datacleaner and helped curate benchmark datasets via contributions to PMLB. Based in Anacortes, WA, he pairs PhD-level machine learning rigor with a pragmatic focus on measurable outcomes and collaboration between technical and non-technical stakeholders.
14 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science & Engineering / Ecology, Evolutionary Biology, and Behavior, Doctor of Philosophy (PhD), Computer Science & Engineering / Ecology, Evolutionary Biology, and Behavior at Michigan State UniversityBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Central Florida
English
Stackoverflow
3,171reputation
252kreached
17answers
20questions
machine-learning
top-5%
scikit-learn
top-5%
python
top-5%
Github Skills (26)
python10
scikit10
pandas10
machine-learning10
twitter-api10
data-preprocessing10
automation10
data-cleaning10
scikit-learn10
jupyter-notebook10
automations10
wrapper10
data-analysis10
command-line-interface9
apidoc9
Programming languages (10)
Github contributions (5)
rhiever/Data-Analysis-and-Machine-Learning-Projects
Feb 2015 - Sep 2020
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Role in this project:
Data Scientist
Data ScientistContributions:84 commits, 20 PRs, 94 pushes in 5 years 8 months
Contributions summary:Randy added and cleaned a dataset named 'Where's Waldo' to a repository focused on data analysis and machine learning projects. The contributions include adding the dataset, cleaning the data and making technical notes on the methodology applied. The primary focus appears to be on data preparation and exploratory data analysis for the 'Where's Waldo' path optimization.
data-analysismachine-learningpythondata-scienceipython-notebook
rhiever/datacleaner
Feb 2016 - Jan 2017
A Python tool that automatically cleans data sets and readies them for analysis.
Role in this project:Data Scientist
Data ScientistContributions:1 release, 36 commits, 3 PRs in 10 months
Contributions summary:Randy primarily contributed to the development of the `datacleaner` tool, focusing on data cleaning and preprocessing functionalities. They implemented the `autoclean` and `autoclean_cv` functions, which automate data cleaning transformations, including handling missing values, encoding categorical features, and integrating cross-validation techniques. The user also built out the command-line interface, enabling users to run the tool on data files.
pythondata-sciencemachine-learningautomation
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