Gabriel Fonseca
Research Scientist at Intel Corporation
Manchester, England, Germany
Summary
👤
Senior🎓
Top SchoolGabriel Fonseca is a research scientist with nine years of experience applying physics and computational neuroscience to neuromorphic hardware and spiking neural networks, currently based in Manchester and working at Intel. His background spans theoretical and computational neuroscience, spintronics, nanomagnetism, superconductivity and ab initio electronic structure calculations, linking brain-inspired computation with condensed-matter platforms. He is completing a PhD in Computer Science at The University of Manchester and holds a master's in spintronics and magnetism, giving him rare cross-domain fluency between device physics and algorithmic models. At Intel he has progressed from neuromorphic algorithms research into broader research scientist roles, translating cognitive principles into implementable neuromorphic solutions. Beyond publications and experiments, he brings hands-on experience teaching and lecturing, which sharpens his ability to communicate complex interdisciplinary ideas to diverse audiences. Colleagues describe him as a physics lover who looks for emergent computation at the intersection of neurons and materials.
9 years of coding experience
PhD, Computer Science, PhD, Computer Science at The University of ManchesterMaster's degree, Physics, spintronics and magnetism, Master's degree, Physics, spintronics and magnetism at Universidade Federal de PernambucoBachelor's degree, Physics, Bachelor's degree, Physics at Universidad Pedagógica y Tecnológica de Colombia
Portuguese, Spanish, English
Github Skills (16)
constraint-satisfaction9
stochastic9
solve9
constraint8
dynamics8
spinnaker8
python7
hearthstone6
constraint-programming6
networking6
deep-learning5
machine-learning5
pytorch5
neural-network4
aio4
Programming languages (1)
Github contributions (5)
GAFonsecaGuerra/SpiNNakerCSPs
Oct 2017 - Aug 2019
This repository will help you create a spiking neural network which structure represents a constraint satisfaction problem and which dynamics implements a stochastic search to solve it.
Contributions:14 commits, 33 pushes, 1 branch in 1 year 11 months
pythonconstraint-programmingspikingconstraint-satisfactionspiking-neural-network
GAFonsecaGuerra/papers
May 2017 - May 2017
Contributions:1 push, 4 branches in 1 day
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