A bit about me
Hi there! I’m Dr. Rylea Hart, and I’m passionate about everything related to exercise sciences. With a PhD in Exercise Sciences from the University of Auckland and years of experience across research, teaching, and coaching, I’ve had the privilege of working with a diverse range of athletes - from enthusiastic youth athletes to Olympic medalists.
My professional experiences include developing cutting-edge AI-driven performance models for Olympic athletes, teaching in university courses in exercise sciences (e.g., biomechanics, physiology, exercise testing and training), and designing strength and conditioning programmes for youth athletes. Regardless of my role, my goal is always the same: to empower people to move better, train smarter, and achieve their potential.
Outside of the lab and gym, I’ve tried my hand at many sports, some of which to national levels, including cricket, squash, volleyball, rugby, running, and Olympic weightlifting, giving me a well-rounded perspective on athletic development. Through this blog, I’ll be sharing insights, tips, and reflections from my journey in the world of exercise science. Let’s explore the exciting intersection of science and sport together!

Work Experience
Jan 2024 - July 2024
Feb 2019 - Feb 2023
May 2019 - Sept 2022
Cub Digital
AI Engineer
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Led machine learning model development for the analysis of Olympic-level athletes.
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Collaborated with diverse audiences, including athletes, coaches, sports analysts, and engineers.
The University of Auckland
Graduate Teaching Assistant
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Designed and delivered laboratories and tutorials on exercise physiology, biomechanics, exercise testing and training.
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Supported students in research projects, including data collection and analysis.
Sparta Athlete Development
Strength and Conditioning Coach
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Designed and implemented strength and conditioning programmes for youth athletes, focusing on athletic development and injury prevention.
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Conducted detailed performance assessments and provided tailored feedback to athletes, ensuring progress towards individual goals.
Education
Feb 2020 - May 2024
Feb 2019 - Nov 2019
Feb 2016 - Nov 2018
PhD (Exercise Sciences)
The Univeristy of Auckland
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Thesis: Development of movement quantification and AI models for analysing resistance training movement performance.
BSc (Hons, First Class) (Exercise Sciences)
The Univeristy of Auckland
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Honours dissertation: The effects of ageing on muscular power and function.
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Course work: Advanced exercise physiology, research methods, and statistics
BSc (Double Major: Exercise Sciences and Physiology)
The Univeristy of Auckland
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Course work: Human anatomy, physiology, biomechanics, psychology, statistics, exercise training and testing.