Summary
Inês Pereira is a Clinical AI Strategist and neurologist with a decade of experience at the intersection of neuroscience, medicine, and computational modelling. She led end-to-end clinical research at ETH Zürich on fatigue in multiple sclerosis and the general population, combining patient recruitment, neuroimaging analysis, and novel Dynamic Causal Modelling approaches. Now based in Zurich and working at kaiko.ai, she translates complex neurobiological questions into deployable AI strategies for clinical impact. A polyglot and former medical tutor and translator, she uniquely blends clinical training from Charité and NOVA Medical School with a joint MSc in Neural Systems and Computation from ETH. She also organized the hybrid Computational Psychiatry Course that scaled to global participation, demonstrating a knack for science communication and building interdisciplinary communities.
9 years of coding experience
Medicine, Medicine at Charité - Universitätsmedizin Berlin
Integrated Master Degree in Medicine, Medicine, 18 out of 20, Integrated Master Degree in Medicine, Medicine, 18 out of 20 at NOVA Medical School - Faculdade de Ciências Médicas
Baccalauréat, Série Scientifique (S), Mention Très Bien (19 out of 20), Baccalauréat, Série Scientifique (S), Mention Très Bien (19 out of 20) at Lycée Français Charles Lepierre
Joint Master's Degree, Neural Systems and Computation, Joint Master's Degree, Neural Systems and Computation at ETH Zurich
Portuguese, French, English, German