Sebastian H. Castedo

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I am currently in my first year of a PhD in statistical physics under the supervision of Remi Monasson at the ENS in Paris. Last summer, I graduated with a first-class Masters in Physics from the University of Manchester.

In our Investigations, we are exploring the intricate trade-offs between performance and energy consumption in neural networks both natural and artificial. By harnessing tools from statistical physics, collaborating closely with neurobiologists, and employing artificial neural networks, we hope to advance the understanding of the fundamental principles governing computation efficiency and resource adaptation in neural systems.

My previous experience includes investigating generalised correlations in Lotka-Volterra ecosystems using dynamical mean field theory under the supervision of Tobias Galla. Results of which are currently in the process of being published. Additionally, I worked on a coupled magneto-mechanical model with Langevin dynamics during an internship at LPTHE in Paris with Leticia Cugliandolo. The work carried out during this internship has been published in PRB.

Beyond science, I have a running interest in radical politics, sociology, and political economy. I would like to better understand complex issues with real-life applications using the skills I have developed in mathematics and computation. I have contributed to a think tank’s work on deforestation in relation to COP 26, started up an educational charity and I am currently involved in setting up a cooperative housing project in Manchester.

selected publications

2023

  1. A feasibility analysis towards the simulation of hysteresis with spin-lattice dynamics
    G Dos Santos, F Romá, J Tranchida, and 3 more authors
    Physical Review B, 2023