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Lancelot Da Costa

Department of Mathematics, Imperial College London; Wellcome Centre for Human Neuroimaging, University College London

Functionalist What matters is the organisation of the processing, not the material

Lancelot Da Costa is an applied mathematician and theoretical neuroscientist based at Imperial College London and the Wellcome Centre for Human Neuroimaging at University College London. His research establishes the formal mathematical foundations of active inference, treating self-organizing agents through the lens of non-equilibrium physics, stochastic differential equations, and Bayesian mechanics.

In his 2026 collaboration with Anil Seth, Karl Friston, Maxwell Ramstead, and Lars Sandved-Smith, published in Neuroscience of Consciousness under the title “A Rosetta Stone hypothesis for neurophenomenology,” Da Costa developed the formal mathematical machinery that operationalizes Francisco Varela’s generative passages. By demonstrating how posterior belief distributions in an active inference agent can serve as a tripartite bridge connecting neural dynamics, outward motor behavior, and subjective reportable experience, his work supplied the quantitative structure that neurophenomenology lacked for thirty years.

Da Costa’s technical contributions focus on turning philosophical claims about embodied mind into tractable variational equations. His work models cognitive effort, time perception, and similarity judgments as derived mathematical consequences of precision-weighted belief updating, establishing an empirical calculus for testing how subjective phenomenology maps onto physical substrates.

Known for. Mathematical foundations of active inference, Bayesian mechanics, computational neurophenomenology, continuous-time variational inference

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