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Mitch Henderson
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About

Experience, education and research: seven years in professional rugby, a PhD in sport and exercise science, and data science in public healthcare.
Portrait of Mitch Henderson

Mitch Henderson

Data science for better decisions in sport.

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mitchhenderson.dev · LinkedIn · GitHub · Bluesky

I spent seven years working directly with athletes and coaches in professional rugby union and league, across sport science and strength and conditioning roles up to Olympic level. A big part of that work was figuring out what coaches actually needed to know, then turning data into something they could use to make a decision.

I now bring that experience to data science. I use statistical modelling and simulation to understand uncertainty and help with difficult decisions. I’m working towards tools that can handle the complexity underneath without putting that complexity on the person making the decision.

Experience

2023 – present

NSW Health Pathology

Senior Data Scientist May 2024 – present
Data Scientist Oct 2023 – May 2024

Data extraction, curation and analysis, and communicating the findings to executive stakeholders across the organisation.

2022 – 2023

Australian Financial Security Authority

Senior Business Insights Analyst Oct 2022 – Oct 2023

Information and insights for the agency through data extraction, enrichment, visualisation and reporting.

2022

NSW Waratahs

Sports Scientist Apr 2022 – Oct 2022

Turning data into knowledge to support decision-making in the high performance department.

2016 – 2022

Rugby Australia

Head of Athletic Performance, Men’s Sevens Sep 2021 – Apr 2022
Athletic Performance Coach, Sevens and National Referees Feb 2020 – Sep 2021
Sports Performance Scientist, Women’s Sevens Jul 2018 – Feb 2020
Assistant Strength and Conditioning Coach, Men’s Sevens Aug 2016 – Jul 2018

Led the development, planning and delivery of the athletic performance programme for the national men’s sevens squad, after earlier roles providing performance coaching and sport science services to the national sevens teams and elite referees.

2015 – 2016

Wests Tigers

Physical Performance Assistant Apr 2016 – Aug 2016
Sports Science and Strength and Conditioning Intern Nov 2015 – Apr 2016

Education

2018 – 2023

PhD, Sport and Exercise Science

University of Technology Sydney. Supervised by Dist. Prof. Aaron Coutts.

Practical strategies for female rugby sevens athletes to maximise performance and health in hot and humid competition conditions.

2013 – 2017

Bachelor of Sport and Exercise Science (Honours)

University of Technology Sydney.

Honours 2017
Bachelor’s degree 2013 – 2016

Honours research on contextual factors affecting elite men’s rugby sevens performance.

Skills

Methods

Bayesian and multilevel modelling, probabilistic forecasting, Monte Carlo simulation, statistical machine learning.

Tools

R, Python and SQL. Bayesian modelling with Stan and brms; reproducible reporting with Quarto; visualisation with ggplot2 and gt.

Domain

Seven years in professional sport working directly with athletes, coaches and performance staff across sport science, strength and conditioning, athlete monitoring and player tracking data.

Research

My published research is in sport science, not data science. It comes from work with elite rugby sevens athletes in training and competition. Selected first-author papers:

  • Core Body Temperatures in Intermittent Sports: A Systematic Review. Sports Medicine, 2023.
  • Responses to a 5-day sport-specific heat acclimatization camp in elite female rugby sevens athletes. International Journal of Sports Physiology and Performance, 2022.
  • Changes in core temperature during an elite female rugby sevens tournament. International Journal of Sports Physiology and Performance, 2020.
  • Individual factors affecting rugby sevens match performance. International Journal of Sports Physiology and Performance, 2019.
  • Rugby sevens match demands and measurement of performance: a review. Kinesiology, 2018.

Full list on Google Scholar

Mitch Henderson · Data science in sport

 
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