About me:
PhD in Physics with deep expertise in Bayesian inference, real-time estimation, and mathematical modeling, applied across domains such as electromechanical systems, robotics, and biomedical data analysis.
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What I have been working on the past 2 years:
- Embedded Software Engineer – Algorithm Specialist at Wärtsilä ANCS. Developing sensor fusion algorithms, with a focus on C++ embedded software development.
- Senior Battery Controls Engineer at Brill Power. Developing novel techniques for the estimation of batteries' state of charge, state of health, state of energy, and state of power via real-time estimation algorithms and multi-objective optimisation tools. I use MATLAB, Python, and C++.
- Estimation theory and decision making algorithms
- My YT channel
My PhD thesis aimed to develop a set of tools to understand and control a set of complex systems through the interconnection of the fields of information geometry, stochastic thermodynamics, and control engineering. From information geometry, we establish a metric that helps us quantify variability in the given complex systems subject to randomness. From control engineering, we recover the concept of ``feedback'' to inform, in this manner, a suitable control algorithm that will organise the system dynamics. Since efficiency is usually defined thermodynamically, Stochastic thermodynamics gives us the effects of the proposed regulator on the entropy production linked to Helmholtz free energy. Additionally, information geometry and stochastic thermodynamics give us tools to detect abrupt events and correlations between the variables in stochastic dynamics.
My Podcast (in Spanish)
My Podcast (in Spanish)
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