Raphael Vallat

Background

About Raphael Vallat

I am a neuroscientist specialized in sleep, health and wearables. I currently work as a Senior machine-learning data scientist at ŌURA, where I build the next generation of sleep algorithms. Prior to this, I have worked for 5 years as a postdoctoral sleep researcher in the Center for Human Sleep Science at UC Berkeley (Prof. Matt Walker's lab). My research examined how sleep — or the lack of it — impacts human health and diseases (including diabetes, atherosclerosis and Alzheimer's disease). My work has been published in top-tier journals and featured in several major news media. My domains of expertise include machine learning & signal processing, particularly when applied to polysomnography and/or wearable physiological data (e.g. EEG, ECG, PPG, HRV). In addition, I am the creator and core maintainer of several open-source libraries in Python, which are used by thousands across the globe: Pingouin (statistics,+500k downloads & taught in several universities), YASA (automatic sleep staging) and AntroPy (complexity of time-series). In my free time, you can find me enjoying precious moments with my amazing wife and daughter, playing music with friends, cooking, or spending time outdoors.