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Unlock the secrets hidden in our DNA and discover the extraordinary story of humanity. 

We are a biomedical discovery institute researching the biology underlying human health.

The Crick magazine, spring 2026

Stanford University, California

Crick Lectures are delivered by leading internationally-renowned scientists from the Francis Crick Institute and elsewhere and cover the full spectrum of biomedical research. They aim to be relatively accessible to scientists in all biomedical disciplines, whilst also offering something for the specialist.

The talks are open to scientists from other institutes and universities from across London and beyond. You should have a minimum of graduate-level biological knowledge to attend and fully engage with these talks. Find out how to attend here. 

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Andreas Tolias is Professor of Ophthalmology and co-leader of the Enigma project at Stanford University.

Andreas is a faculty member at Stanford University and also co-leads Enigma, a non-profit research organisation leveraging deep learning to accelerate neuroscientific discovery. His team has pioneered methods in NeuroAI, neural recording technology, and theoretical neuroscience, and includes key architects of Neuropixels and the MICrONS Project. His research lies at the interface of neuroscience and AI, combining large-scale neuroscience experiments with machine learning to uncover the principles of natural intelligence. By focusing on perceptual inference and decision-making, his lab integrates systems and computational neuroscience with AI to decipher the network-level principles of intelligence. Andreas’s work aims to reverse-engineer these principles to create AI systems that are smarter, more robust, trustworthy, and efficient, while providing a powerful platform to test brain algorithms under complex natural tasks.

Andreas earned his B.A. and M.A. in Natural Sciences from the University of Cambridge, a Ph.D. in Systems and Computational Neuroscience from MIT, and completed postdoctoral training in Neuroscience and Machine Learning at the Max Planck Institute for Biological Cybernetics in Tübingen.

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