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Alex Cayco Gajic

Principal Investigator

Curriculum vitae
Personal website

Interests

  • Machine learning
  • Neural population dynamics
  • Learning dynamics
  • Motor learning
  • Neural manifolds

Education

  • Ph.D. in Applied Mathematics, 2015

    University of Washington, Seattle

  • B.Sc. in Applied and Computational Mathematics, 2009

    Caltech, Pasadena, CA, USA

Biography

I am a Professor in the Departement D’Etudes Cognitives at ENS with affiliations in the ENS-PSL Quantitative Biology Center (Qbio) and the Paris AI Research Institute (PRAIRIE). My research interests lie at the intersection of neuroscience, machine learning, and mathematical modeling. I am mathematically omnivorous, and my work draws on a variety of tools spanning dynamical systems, matrix and tensor analysis, differential geometry, probabilistic modeling, and high-dimensional statistics. In 2024 I was awarded and ERC Consolidator grant to investigate how latent dynamics in neural populations evolve during learning, with a focus on motor learning in complex tasks.

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