# Jenn Gamble

> Jenn Gamble is the founding Head of Data Science at Distyl AI, where she works on moving enterprise AI from compelling demonstrations into reliable production systems. A Canadian mathematician and statistician by training, she earned a Ph.D. in electrical engineering at North Carolina State University, applied topological data analysis at Ayasdi, led enterprise AI applications at Noodle.ai, built the data science practice at Very, and joined Distyl's founding team to focus on dependable, user-centered AI deployment.

- **Role:** Founding Head of Data Science at Distyl AI
- **Organizations:** Distyl AI, Very, Noodle.ai, Ayasdi
- **Nationality:** Canadian
- **Education:** Undergraduate degree in mathematics and master's degree in statistics, University of Alberta, Ph.D. in Electrical Engineering, North Carolina State University
- **Known for:** Has spent more than a decade architecting and deploying AI systems and has helped bring dozens of enterprise applications from concept to production impact., Built and led multidisciplinary data science teams across Noodle.ai and Very before joining Distyl AI's founding team., Delivered a keynote at ElixirConf 2020 on robust data pipelines for machine-learning-driven industrial IoT.

## Career timeline

- **2010-2015** — Completed a Ph.D. in electrical engineering at North Carolina State University, researching topological data analysis.
- **After 2015** — Joined Ayasdi as a data scientist, applying topological data analysis and predictive modeling with medical and insurance organizations.
- **Late 2010s** — Joined Noodle.ai and progressed from an individual data science contributor to technical lead and Director of Data Science for industrial and enterprise applications.
- **2020** — Joined Very as Data Science Practice Lead and delivered an ElixirConf keynote on robust data pipelines for machine-learning-driven industrial IoT.
- **2023** — Publicly announced joining Distyl AI as founding Head of Data Science as the company disclosed its OpenAI services alliance and seed financing.
- **2024** — Presented a practical enterprise LLM deployment roadmap at SEMLA LLMOps Day and wrote about user-centered, quickly iterated AI systems after a Women in AI panel.
- **2026** — Spoke in Tokyo at the Geodesic Forum on the latest developments in the AI ecosystem alongside Tim Davis and Parag Agrawal.

## Achievements

- Has spent more than a decade architecting and deploying AI systems and has helped bring dozens of enterprise applications from concept to production impact.
- Built and led multidisciplinary data science teams across Noodle.ai and Very before joining Distyl AI's founding team.
- Delivered a keynote at ElixirConf 2020 on robust data pipelines for machine-learning-driven industrial IoT.
- Advises Fortune 50 executives on AI strategy, problem selection, and high-value use cases.
- Developed and taught a practical framework for enterprise LLM deployment covering scoping, interface design, architecture, evaluation, retrieval pipelines, context management, and live deployment.

## Latest updates

- **2026-02** — Joined Tim Davis of Modular and Parag Agrawal of Parallel for a Geodesic Forum panel in Tokyo on developments in the AI ecosystem and enterprise adoption.
- **2025-09** — Distyl AI announced a $175 million financing at a $1.8 billion valuation, expanding the company where Gamble leads data science.
- **2024-10** — Published takeaways from a Women in AI panel emphasizing use-case-backward development, rapid iteration, diverse teams, and human oversight of AI systems.

## Links

- Website: https://www.distyl.ai/blog/authors/jenn-gamble
- LinkedIn: https://www.linkedin.com/in/jenn-gamble
- Twitter/X: https://twitter.com/jennpgamble

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Profile page: https://yespress.io/jenn-gamble
Published by YesPress — https://yespress.io
Last updated: 2026-09-26