John Young

John Young Speaker Public Sector Data Analytics Conference Canberra Australia

John Young

Job Title: PhD Candidate - Deep Learning in Sport & Former Chief Analyst & Data Scientist

Company: La Trobe University/Central Coast Mariners Football Club

John Young completed a Masters of High Performance Sport (Science and Analytics), finishing with a HD average. Currently, he is studying a PhD at La Trobe University incorporating Deep Learning in High Performance Sport. He is academically mentored by both Stuart Morgan (La Trobe University Academic – Sport Analytics Specialist) and Professor Xhen He (La Trobe University Academic – Head of Computer Science).

John is a highly passionate person who leads by example. This could never be more evident by completing the Port Macquarie Ironman as his first ever triathlon. With a strong analytic and coaching skill set in High Performance Sport and Education, developing strategies that require thinking outside of the normal box, is a strength that he frequently makes use of to achieve the desired results for his athletes, students and employers. John also presents at conferences on sport science and analytics across Australia and overseas.

At an elite sports coaching level, for the past 16 years John has been successful in both swimming and triathlon. He was a coaching staff member of the 2000 Australian Swimming Open Water World Championships team and has qualified athletes for the prestigious Ironman World Championships. Johnhas also presented Coach License Courses on behalf of the ASCTA. Demonstrating his all-round coaching ability he has been able to transfer this knowledge to other sports, achieving 3 National School Basketball Titles and a NSW Schools (Non-Elite) Rugby League Title.

Speaking at the following:

9.35 - 9.55
Feature speaker:   Sport in a data driven world:  how to foster creative ideas to drive engagement with data and analytics

Removing the endowment effect and finding the true value of numbers for better retention and recruitment & utilization of deep learning within sport and the associated commercial aspects.

14.40 - 15.15
Closing Panel Discussion: APS data & analytics developments, challenges and opportunities for the year ahead

How will the CDAO role in the APS evolve over the next 12 months?;  Key data & analytics strategies for the year ahead;  and lessons learnt and key takeaways to further the APS data & analytics journey.