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Marco Altini

PhD cum laude in Data Science
MSc cum laude in Computer Science Engineering
MSc cum laude in Human Movement Sciences, High-Performance Coaching

Founder of HRV4Training
Data Science Advisor at Oura
Guest Lecturer at Vrije Universiteit Amsterdam (Physiology section of the Department of Human Movement Sciences)
Editor of the Wearable Department of IEEE Pervasive Computing Magazine

10+ years of experience modeling physiological data (6+ in Holland, 4 in Silicon Valley)
50+ publications at the intersection between technology, health, and performance

Passionate Runner

Contact & Social Media

I am currently based in Amsterdam and you can reach me via email here

You can also find me on Twitter, Instagram and Strava.

Bio

I am a scientist and developer mainly working at the intersection between health, technology and performance. I have a PhD (cum laude) in Data Science and a MSc (cum laude) in Computer Science Engineering as well as another MSc (also cum laude) in Human Movement Sciences, with a specialization in High Performance Coaching

I started HRV4Training in 2012, making it a tool that is today trusted by more than 150 000, including olympic medalists and professional teams. HRV4Training is a mobile platform using advanced signal processing and data analytics to measure physiology and quantify stress, helping athletes of all levels to better balance training and lifestyle stressors to improve performance. HRV4Training is also the first and only app that can reliably measure heart rate variability (HRV) using the phone's camera

CURRENT WORK
Currently, I am taking care of product development (strategy, iOS and Android app development, web platform development) and research (clinical studies, insights, new features development from user generated data and large scale data analysis) as well as producing and delivering educational material on the topic of HRV, stress and performance

In 2020 I took also a role as Data Science Advisor at Oura, helping a great team developing meaningful insights from physiological data. In particular, I have worked with Oura on the development of the next generation sleep staging algorithm, which I have described in this paper

Finally, I am guest lecturer at Vrije Universiteit Amsterdam in the Physiology section of the Department of Human Movement Sciences. I am mostly helping out in the course in Data in Sport and Health and advising students entrepreneurs in the Demonstrator Lab.

PREVIOUS WORK
Between 2014 and 2019 I led data science activities at Bloomlife, a digital health startup focusing on helping expecting mothers have a healthy pregnancy. During this period Bloomlife grew from 3 to 20 employees, raised over 8 M USD in capital, and pioneered data-driven pre-natal research. In 2019 I left Bloomlife to pursue a different career path. You can learn more about my research here

From time to time, I also help other companies improving their products, see for example my work on Relative Effort with Strava.

You can learn more about the solutions I have developed, at HRV.tools.

INTERVIEWS