Kevin Kotzen
About Kevin Kotzen
Kevin Kotzen is a Senior Algorithm Engineer at Eight Sleep in the United States, with a background in data science and software development.
Current Position at Eight Sleep
Kevin Kotzen is currently working at Eight Sleep as a Senior Algorithm Engineer in the United States. In this role, he utilizes his extensive background in data science, machine learning, and biomedical engineering to contribute to the development of advanced sleep improvement technologies.
Experience at Vocalis Health
From 2018 to 2020, Kevin Kotzen worked as a Senior Data Scientist at Vocalis Health, formerly known as Healthymize, in the Haifa Area, Israel. During his tenure, his focus was on utilizing machine learning to monitor the progression of chronic diseases. His experience in this role helped him develop a deep understanding of healthcare data and ailment prediction technologies.
Educational Background in Engineering
Kevin Kotzen has a comprehensive educational background in engineering. He holds a B.Sc. in Electrical Engineering and a B.Eng.Sci. in Biomedical Engineering from the University of the Witwatersrand. Additionally, he achieved a Master of Science (MS) in Biomedical/Medical Engineering from the Technion - Israel Institute of Technology. His MSc research at AIMLab focused on enhancing sleep staging using wearable signals, achieving state-of-the-art results in sleep staging from photoplethysmography.
Industry Experience in Software Development and Data Science
Before his current role at Eight Sleep, Kevin Kotzen garnered over five years of industry experience. He worked as a Software Developer at ThoughtExpress in Cape Town, South Africa, and Wits Bioinformatics Group in Johannesburg, South Africa. Additionally, he worked as an Energy Analyst at Green Cape and as a Software Developer at Feeding Forward. His diverse roles have spanned various domains including software development and energy analysis, enriching his technical and analytical skills.
Research on Wearable Signal-Based Sleep Staging
During his MSc research at the Technion-IIT's Artificial Intelligence in Medicine Lab, Kevin Kotzen focused on improving sleep staging using wearable signals, such as those obtained from smartwatches. His research contributions included achieving a new state-of-the-art for sleep staging from photoplethysmography, emphasizing his expertise in the intersection of biomedical engineering and machine learning.