
Thomas Minot
Deeptech engineer, investor, and entrepreneur in neurotech and AI
France
Joined June 2025
Network
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Summary
Thomas Minot is a seasoned deep tech professional with a strong background in engineering and neuroscience. His career spans from early-stage startups and disruptive innovation VC to academia, showcasing his versatile expertise in both technical and business development roles. He actively seeks out strategic industries and critical technologies. sparksense+1
He possesses a unique blend of scientific research and practical application, evidenced by his work as an R&D/Neurotech Lead at CCLabs.ai and Computer Vision Engineer at Ditto Labs, as well as his academic research in computational neuroscience at the University of Oxford. His entrepreneurial spirit is highlighted by his attempt to launch a deeptech neurotech venture for sports performance. rocketreach+2
His expertise extends to investment in deeptech, having served as a Deeptech Investor at HCVC and currently providing engineering and consultancy services at Deeptech Adventures. This indicates a comprehensive understanding of the deep tech ecosystem from both a technical development and a funding perspective. rocketreach
Work
Education
Writing
Determination of the Effects of Transcutaneous Auricular Vagus Nerve Stimulation on the Heart Rate Variability Using a Machine Learning Pipeline
September 1, 2022Investigation into the potential effects of transcutaneous auricular vagus nerve stimulation (taVNS) on stress processing, reflected in ECG-derived biomarkers of stress adaptability, utilizing a machine learning model.
The neural representation of the gender of faces in the primate visual system: A computer modeling study
March 1, 2017Research using a neural network model to show how neurons learn to encode the gender of faces in the primate visual system. The study highlights unsupervised learning and invariant responses to different face views.
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