Jean-Luc
Jean-Luc former International Sales and Marketing Director, then head of strategic digital transformation programmes in the USA, Canada, Japan, Europe for world leaders including LVMH, Orange, Bank Pictet & Cie (Wealth management, Global Custody, Asset Managers), Bank E. de Rothschild (Wealth mgt), LCL (Capital Markets), Axa Investment Managers (Mutual Funds), Veolia (Utilities), Orano (Nuclear), Pharmaceuticals and Biotechs: Serono, Merck, Celgene. He has been developing predictive models ever since 1989, and has devoted himself entirely to Artificial Intelligence since 2014. He has acquired a significant expertise in Generative AI, Computer Vision, Segmentation, Regression, Classification models development and training. He holds a MSc in Computer Science from the University of Montpellier, and a 3rd cycle degree in management sciences (Audencia, Nantes Business School, France).
Haymouth
With a solid experience in IT leadership, Haymouth has excelled in the Healthcare industry, specializing in ERP project management, strategic relationship management at the C-suite level for global corporations, and senior executive roles within a family office and an international management consulting and technology firm. As the founder and leader of HayB Ventures, he is spearheading investments in innovative tech startups, driving their growth and success. His diverse expertise combines a profound understanding of business-technology dynamics with a proven track record of achieving impactful results. Haymouth holds a Master’s degree in Computer Science from CNAM (Conservatoire National des Arts et Métiers, Paris). He also completed the MBA for IT executives at Boston University and earned leadership series credentials from Stanford Graduate School of Business, along with various development certifications from IMD in Lausanne, Switzerland.
Jaime
Jaime, is an expert in artificial intelligence and biomedical signal processing, with postdoctoral research at the University of Geneva and a Ph.D. in Electronics Engineering. His work focuses on developing machine learning algorithms for brain-computer interfaces (BCIs) and neurorehabilitation, including advanced methods for decoding brain signals from intracranial, MEG, and EEG recordings. As a visiting scientist at the Wadsworth Center, New York State Department of Health, he contributed to AI-driven improvements in P300-based BCIs and speech decoding from neural activity. His research, published in Nature Communications and Scientific Reports, advances AI applications in neuroscience, positioning him at the forefront of AI-driven healthcare innovation.
Amandine
Amandine is our expert in Large Language Models, she is currently in her last year of PhD within the WASP (Sweden’s largest individual research program ever) in Mathematics and Computer Science applied to Artificial Intelligence at the University of Uppsala (Sweden). She holds two Msc in Mathematics (a MRes in Fundmental Mathematics Analysis-PDE's-Probabilities and a MSc in Mathematics applied to Artificial Intelligence) from the University of Bordeaux (France).
Maeva
Maeva is one of our specialists in medical imaging and is PhD candidate in Computer Science at Linköping University (Sweden). She worked at the Karolinska Institute Stockholm (Sweden) in the field of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT scanner) image improvement. She holds a BSc in physics and a MSc in Artificial Intelligence applied to Signal Processing and Medical Imaging from the University of Clermont-Ferrand (France).
Chloé
Chloé has a double education background, she holds a Bsc in Maths & Physics, a M.Eng in Robotics and she is completing her MSc in Computer Science applied to autonomous systems and AI. She has international experiences in 2D graphen Nanotechnologies, Virtual & Augmented Reality (Chalmers University Gothenburg, Sweden) and Marine Robotics (KTH Stokholm, Sweden). She is working on complex segmentation and classification models.
Alexander
Alexander is our scientific advisor, he specialized himself in the field of micro photonic bio-sensors and is currently junior researcher at the Integrated Optical Systems laboratory of the University of Twente (Enschede, The Netherlands). He holds a M.Eng in Physics and a Msc in Photonics from the University of Strasbourg (France), a Lic.Eng. in Nanosciences and a PhD in Nanotechnologies and Photonics from the University of Chalmers (Gothenburg, Sweden).