John Maidens
About John Maidens
John Maidens is the Machine Learning Lead at Eight Sleep, with prior experience at Apple and Eko, and holds a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley.
Current Role at Eight Sleep
John Maidens holds the position of Machine Learning Lead at Eight Sleep. In this role, he is focused on the application of machine learning techniques to enhance sleep health. His work involves leveraging advanced algorithms to create solutions aimed at improving sleep quality and overall wellness.
Previous Experience at Apple
John worked as a Machine Learning Engineer at Apple from 2022 to 2023. During his tenure, he contributed to the development of the optical heart rate sensor for the Apple Watch. This project involved critical work in the field of machine learning and bio-signal processing, reflecting his expertise in creating innovative health-related technologies.
Career at Eko
Before joining Apple, John was a Data Scientist at Eko from 2017 to 2022. He spent five years in Berkeley, CA, where he was instrumental in developing algorithms for analyzing stethoscope audio. His work at Eko showcased his skills in digital signal processing systems specifically designed for biosignal analysis.
Educational Background
John Maidens has a strong educational foundation in various advanced technological fields. He earned a Doctor of Philosophy (Ph.D.) in Electrical Engineering and Computer Sciences from the University of California, Berkeley, after studying from 2012 to 2017. Prior to that, he achieved a Master's Degree in Biomedical Engineering from The University of British Columbia, where he studied from 2010 to 2012. His academic journey began with a Bachelor of Science (BSc) in Mathematics from the University of Alberta, completed between 2006 and 2010.
Expertise in Digital Signal Processing
John Maidens has significant expertise in building digital signal processing systems for biosignal analysis. Throughout his career, he has applied this knowledge to various roles, including developing algorithms for stethoscope audio analysis at Eko and contributing to the optical heart rate sensor for the Apple Watch. His experience in this field is a critical asset in his current role at Eight Sleep, where he continues to apply machine learning techniques to health-related challenges.