Will your digital twin make you healthier?

Would you share your data for the common good?  

Sharing our personal data makes most of us wary. But doing so has the potential to contribute to incredible advances in biomedical research.  

Biomechanist Jacqueline Alderson shares the creation story of digital athletes, using machine learning models based on the personal and physical data of individuals. 

Jacqueline explores the notion of a digital twin, and how sophisticated simulations based on real data can make reliable predictions to prevent disease, illness and injury. 

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx 

About the speaker 

Born in New Zealand, Jacqueline Alderson moved to Perth when she was 19 to study. Perth remains her spiritual home, 27 years later.  

Jacqueline holds a Bachelor of Science with First Class Honours and a PhD in biomechanics. At the time of writing, she is a Professor of biomechanics at the University of Western Australia, with a wide and varied research history in clinical and sports biomechanics.  

From the role of deep brain stimulation in modulating movement, understanding the loads causing injury in athletes, to capturing circus performers falling from the roof of her lab, Jacqueline now travels the world speaking about her current passions: human engineering, wearable tech, and the role of artificial intelligence in tracking, analysing, and intervening in the human condition.