Running Buddies featuring John Kelly episode artwork

EPISODE · Dec 30, 2025 · 39 MIN

Running Buddies featuring John Kelly

from Running Scared Media · host Jamie Roberts & Robert Lendrum

Today we catch up with data scientist and ultra runner John Kelly. We discuss his background, his analytical approach to endurance sports, and his experiences competing in iconic races like the Barkley Marathons. He explains how his professional background in data science allows him to break down complex logistical challenges into manageable components, providing a critical mental edge during grueling multi-day events. John also reflects on his time living in the United Kingdom, where he embraced the community-driven culture of running and honed his skills on technical terrain. He also shares his perspective on the future of the sport, suggesting that while technology and AI will assist in training, the core of ultra-running will always be driven by personal passion and adventure. Heck, we even talk about baseball!Follow John on Instagram @randomforestrunnerVisit his website and blog at: https://randomforestrunner.com/For amazing trail visors head to: https://keapeak.com/Support the showSubscribe to Running Scared Media wherever you get your podcasts for more episodes!RunningScaredMedia.comVisit our shop to purchase our jogcasts and other merchEmail us at: [email protected] us:Instagram @runningscaredmediaJoin our FB Running Group 

Episode metadata supplied by the publisher feed · Published Dec 30, 2025

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Today we catch up with data scientist and ultra runner John Kelly. We discuss his background, his analytical approach to endurance sports, and his experiences competing in iconic races like the Barkley Marathons. He explains how his professional background in data science allows him to break down complex logistical challenges into manageable components, providing a critical mental edge during grueling multi-day events. John also reflects on his time living in the United Kingdom, where h...

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Running Buddies featuring John Kelly

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