Randy 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.
13 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 University
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Central Florida
A Python bot that automates several actions on Twitter, such as following users and favoriting tweets.
Role in this project:
Back-end Developer
Contributions:14 releases, 60 commits, 13 PRs in 1 year 6 months
Contributions summary:Randy primarily contributed to the development of a Twitter bot, focusing on core functionalities. They implemented features for favoriting tweets, following users, and unfollowing non-followers. Additionally, the user added functionality for retweeting and handling rate limits, demonstrating a focus on the bot's operational aspects. Furthermore, the user made modifications to include docstrings, and implemented some refactoring for better code organization.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Role in this project:
Data Scientist
Contributions: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.
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