Advancing Wellness Through Personalization.
Fitnescity's mission is to empower people to learn more about their wellness.
No two bodies are similar. Our goal is to help people uncover the data that’s vital to understanding their wellness.
Fitnescity provides wellness testing, personal training, as well as technology solutions for consumers and health clubs.
(the long version)
Our mission at Fitnescity is to empower people to learn more about their wellness so they can make meaningful lifestyle changes.
We truly believe that wellness starts with understanding, and we aim at enabling people of all ages and fitness levels to fully take control of their health.
We offer wellness tests that enable anyone to understand their current level of fitness and risks, as well as track progress. The assessments use clinical-grade equipment and range from body composition analysis to metabolic testing, performance analysis and injury prevention.
We also offer our clients the option of working with a personal trainer, and/or combining their test results with data from wearables and other sensors.
The vision behind our work at Fitnescity is to enable anyone to gradually build a longitudinal and comprehensive view of their wellness. We believe that prevention is the future of medicine, and that a data-driven approach to wellness can help optimize someone’s wellbeing, as well as prevent lifestyle-related disease before it actually happens.
Follow our story:
Co-founder & CEO
Massachusetts Institute of Technology (MBA).
TélécomParisTech (Bachelor’s, Master’s).
Dataxis (global data analysis firm): Founding employee.
Recipient of "The Legatum Fellowship for Entrepreneurial Leadership at MIT" (awarded every year to 20 MIT graduates across all fields).
Fellow, "The MasterCard Foundation” (awarded to 200 MIT graduates over 10 years).
Early adopter and advocate for the Quantified Self (life-logging), a movement that aims at empowering individuals to collect and explore personal data in order to improve health and wellbeing.
Co-founder & Chief Scientist
Stanford University: Postdoctoral Scholar at the Stanford Visualization Group. The lab investigates the perceptual, cognitive, and social factors involved in making sense of large data collections, and develops novel interactive systems for visual analysis and communication.
University of Washington: Member of the Interactive Data Lab.
Brown University: PhD | Computer Science.
IBM T. J. Watson Research Center - Healthcare Analytics: Staff Researcher.
The Icahn School of Medicine at Mount Sinai: Visiting Scientist.