Bio

Cédric Cannard is the Director of Research at Evolve, a neurotechnology company dedicated to building scalable technologies to tackle the mental health crisis, improve well-being, and help individuals harness their true potential. We combine cutting-edge virtual reality (VR), multimodal biosensing and biofeedback, neuropsychology and cognitive neuroscience knowledge, user experience, and machine learning/artificial intelligence (ML/AI), to fine-tune its transformative programs to each person's needs.

He holds a Bachelor's degree in Sports Science, a Master's degree in Neuropsychology and Clinical Neuroscience, and a PhD in Neuroscience. During his undergraduate studies, he worked on brain atrophy in schizophrenia (CEA, ISTCT Research Unit in Caen, France) and brain oscillations in visual perception and attention (CerCo Laboratory, CNRS, Toulouse, France). During his PhD with Dr. Arnaud Delorme (2018–2021), he developed advanced open-source tools for low- and high-density EEG analysis, collected large EEG datasets in real-world settings using wearable technologies (>500), identified EEG and HRV correlates of well-being, analyzed thousands of biosignals from various modalities (low/high-density wet/dry EEG, ECG/EKG, PPG, GSR/EDA, electrogastrography, and voice), and trained and validated machine learning (ML) models to classify EEG signals. As a Senior Research Associate at the Institute of Noetic Sciences (IONS; 2021–2024), he identified genetic correlates of psi (Ψ) experiences and researched various topics such as meditation, altered states of consciousness, trance, predictive processes, intuition, quantum wave collapse (double-slit experiments), and individuals with unique experiences or abilities. Cedric is also review editor for some major journals (Scientific Reports, Plos One, Frontiers in Neuroscience, etc.) and is a member of the Global Consciousness Project.

Cédric is dedicated to leveraging innovative, neurotechnology to promote human well-being, meaning in life, and potential in the real-world, and to better understand the nature of human consciousness and reality.

Research projects

Here you'll find summaries of some of Cédric's primary research projects. His work covers a broad spectrum, including for example the development of open-source software for brain and heart signal analysis, investigating brain dynamics in altered states of consciousness, the innovative use of wearable neurotechnology for the tudy of well-being, quantifying gray matter atrophy in schizophrenia, and classifying EEG signals using machine learning models.

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