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Leonardo Agueci

PhD student

Curriculum vitae

Interests

  • Computational Neuroscience
  • Statistical Physics
  • Artificial and Biological Learning
  • Cerebellum
  • Information Theory

Education

  • Double degree M.Sc. in Physics of Complex Systems, 2019

    Sorbonne Université, France - Politecnico di Torino, Italy

  • B.Sc. in Physical Engineering, 2019

    Politecnico di Torino, Italy

Biography

I am a Ph.D. in the Group for Neural Theory at ENS in Paris. I am currently working on probing the cerebello-cortical loop during motor learning and behavior through mMachine learning and mathematical techniques. Previously, I was a research assistant in the group of Andrea Calimera, EDA, Politecnico di Torino, working in machine learning techniques application on predictive maintenance in the MADEin4 and R3-PowerUP european projects, and on development of neural network properties verification algorithms.

I am interested in understanding general principles underlying both biological and artificial learning.

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