Longevity Leaders World Congress 2021
The virtual event for leaders in longevity science, technology, business and finance organized by Longevity Leaders (LSX).
04-May-2021 to 07-May-2021
The COVID-19 pandemic has thrown ageing and longevity into sharp public focus. It is now critical that we understand the biology of ageing to improve the underlying health of our populations, improve immune response and reduce disease. Financial wellbeing and security in later life urgently needs attention.
The care sector is in desperate need of innovation and support. And the way that we work and connect with one another has shifted dramatically and permanently, with significant implications for ageing populations.
The Longevity Leaders World Congress is the definitive global meeting with the mission of extending human health span, delivering healthy ageing and financial wellness in the context of longevity.
As three-conferences-in-one, it digs deeply into each facet while shared plenary and networking sessions provide opportunities for interdisciplinary exchange.
- Ageing Science
- Ageing Well
- Financing Longevity
Speakers at this congress are:
• Aubrey de Grey
• Claire Stewart
• Cynthia Bullock
• George MacGinnis
• Greg Bailey
• Jackie Marshall-Cyrus
• James Kirkland
• Janet Lord
• Joao Pedro de Magalhaes
• Jonathan Synett
• Karen Etkin
• Lorna Harries
• Lorraine Morley
• Marc Ramis-Castelltort
• Michael Zemel
• Natalia Novac
• Nir Barzilai
• Rachel Carey
• Reenie McCarthy
• Ronjon Nag
• Sarah Culkin
• Sergey Young
• Sibylle Jaeger
• Stephanie Manson-Brown
• Steven Braithwaite
• Thomas Rando
• Tom Hughes
Visit website: https://www.lsxleaders.com/longevity-leaders-congress
See also: 
Longevity Leaders (LSX)
- Connecting senior life science executives with access to the capital, intelligence, innovation
Interested in more events? View the club's event calendar.
Mentioned in this Resource
Chief Science Officer at SENS Research Foundation. Author and advocate of ending ageing.
Microbiologist at the University of Liverpool studying ageing using computational and experimental approaches.
