Randal S. Olson profile photo

Randal S. Olson

Co-Founder & CTO at Goodeye Labs

Large Language Models (LLMs)Automated Machine Learning (AutoML)Data VisualizationProduct StrategySolution ArchitecturePython
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About

I'm Randal S. Olson, the Co-Founder and CTO at Goodeye Labs. My career has been a journey from academic research and software engineering for the DoD to leading data science teams in biotech and AI strategy. I’m perhaps best known in the community for creating the TPOT AutoML library and moderating r/dataisbeautiful for over ten years. I’m passionate about moving past the 'AI hype' and focusing on outcome-oriented technology—building systems that actually move the needle on business metrics rather than just providing flashy demos. Whether it's through my work in frontier models or my background in data storytelling, I care deeply about keeping humans in the driver's seat of technology. I’m always looking to connect with teams working on ambitious AI projects that need to bridge the gap between high-level intelligence and production-ready, value-driven systems.

Networking

What I can offer

  • ›Deep expertise in bridging frontier intelligence with production systems
  • ›High-level AI and Data Science consulting
  • ›Strategic advice on aligning AI with business KPIs
  • ›Advanced data visualization and storytelling

Looking for

  • ›Teams building ambitious AI projects
  • ›Collaborations requiring alignment with real-world business KPIs
  • ›exploring mutual opportunities in AI and Data Science

Best fit for

AI startup foundersBusiness leaders seeking AI strategyData science researchersOpen-source contributors

Current Interests

Data storytelling and demographicsSpace exploration historyFrontier AI capabilities vs business outcomesPrivacy-first AI applicationsClimate and heat mapping

Background

Career

Transitioned from academic research and software engineering into high-level data science leadership, moving from the Department of Defense and Michigan State to Chief Data Scientist roles and eventually founding multiple AI-focused ventures.

Education

Ph.D. in Computer Science & Engineering / Ecology, Michigan State University (2011 – 2015); B.S. in Computer Science, University of Central Florida (2005 – 2010)

Achievements

  • ›Created TPOT, a widely-used open-source AutoML library
  • ›Published over 50 peer-reviewed papers with 7,000+ citations
  • ›Contributed to three patents in biotechnology and data science
  • ›Moderated r/dataisbeautiful for over a decade
  • ›Reduced ETL data transfer rates from days to minutes at Absci

Opinions

  • AI initiatives fail when they focus on impressive demos rather than business metrics
  • The model itself is rarely the bottleneck; the failure lies in pointing it at the wrong outcome
  • Humans should remain in the driver's seat of AI systems
  • Advocates for calm technology that reduces cognitive load over hype