AI Coach: How a Champion Turned Data Into Gold

Kristen Faulkner, who won two Olympic gold medals in Paris, is now turning her own body data into a personal training guide. Her journey began with a setback in 2023 when she was disqualified for wearing a continuous glucose monitor during a race. The rule said the device was not allowed in competition, but it gave her valuable clues about how she fuels and recovers. Instead of giving up the technology, Faulkner kept experimenting with data. She spent hours coding her own metrics after rides and during recovery, turning raw numbers into a system that tracks heart rate, sleep, power output, menstrual cycle stages and more. Her background in computer science from Harvard and experience in venture capital gave her the tools to build this system. She noticed that most sports science studies focus on men, so she decided to research her own body instead of waiting for external help.The result is a set of AI models that predict how she will perform on any given day. They show her where to adjust nutrition, training load or rest for maximum benefit. This approach helped her win three gold medals at the Pan American Championships and set a new 20‑minute power record. Now she is aiming for the Los Angeles 2028 Games, where her AI coach will guide her to defend her Olympic title on home soil. She questions whether the same rules that banned her glucose monitor will also block her AI system, but she remains optimistic. Faulkner’s story shows that technology can empower athletes to understand themselves better, especially when traditional coaching gaps exist. Her blend of data science and sports performance is turning personal insights into podium finishes.