Science and Research
Sleep Cycle is born from a team of visionaries and builders, blending technology and science to create something remarkable.
Meet Some of Our Experts
Our expert panel brings together leading minds in sleep science and technology, giving Sleep Cycle a unique and innovative foundation.
Dr. Mikael Kågebäck
Holds a Ph.D. in Machine Learning and AI from Chalmers University of Technology in Gothenburg and leads the technical direction at Sleep Cycle.
Dr. Mike Gradisar
A Clinical Psychologist, research scientist, and internationally recognized sleep expert with over two decades of experience in sleep research and therapy.
Dr. Emil Carlsson
A research scientist specializing in reinforcement learning and decision-making under uncertainty with a focus on developing reliable data-driven decision-making systems.
Emilio Jorge
A research scientist with a background in reinforcement learning and decision-making, focused on detecting sleep apnea from smartphone audio and turning real-world signals into reliable health insights.
A Trusted Research Partner
With millions of daily active users and over three billion nights analyzed across more than 150 countries, Sleep Cycle is the leading sleep-tracking application and one of the most widely used solutions worldwide for improving sleep health.
We frequently collaborate with some of the world’s leading universities to support global sleep health.
Our Current Research
We’re collaborating with leading institutions on research that helps make healthy sleep accessible to everyone.
Sleep Apnea Clinical Study
The Sleep Apnea Clinical Study is spearheaded by Dr. Mike Gradisar who serves as the study’s Principal Investigator, and Dr. Mikael Kågebäck. Together they bring a wealth of expertise in behavioral sleep medicine and applied AI in digital health, supporting Sleep Cycle’s rigorous scientific approach to development. The study will explore the feasibility and accuracy of detecting OSA through a non-invasive, app-based solution—positioning Sleep Cycle to become one of the first mobile platforms to offer sleep apnea screening capabilities at scale.
Collaborative Research Targets Early Detection of Alzheimer’s
Researchers from Cambridge and UCL, together with the Sleep Cycle team, are examining how sleep and navigation patterns might indicate early signs of Alzheimer’s. By analyzing mobile sensor data, they aim to detect subtle cognitive changes and enable earlier diagnosis through a scalable, real-world approach.
Creating Change with Cough Radar
In collaboration with researchers from Cambridge University, our ongoing study uses Cough Radar, our unique data source, to examine the short-term impacts of air pollution on health. Early findings show a strong association between rises in air pollution and surges in average cough rates among Sleep Cycle users in affected areas.
