Mattia Rigotti
Researcher at IBM
Switzerland
Summary
👤
Senior🎓
Top SchoolMattia Rigotti is a research scientist with 13 years of experience at the intersection of machine learning, computational neuroscience and neuromorphic engineering, currently researching at IBM in Switzerland. He holds a PhD in Neuroscience from Columbia and an MSc in Theoretical and Mathematical Physics from ETH Zurich, a background that blends deep theoretical modeling with practical AI research. His career spans postdoctoral and research fellow roles at NYU and Columbia, and a long tenure at IBM where he focuses on biologically inspired neural networks and hardware-aware algorithms. Colleagues describe him as someone who translates complex neural theory into experimentally testable models and scalable implementations. Notably, his profile reflects a rare combination of rigorous physics training and hands-on neuromorphic expertise that bridges academia and industrial research.
13 years of coding experience
8 years of employment as a software developer
DEA, Theoretical Physics, DEA, Theoretical Physics at Ecole normale supérieureMaster of Science (MSc), Theoretical and Mathematical Physics, Master of Science (MSc), Theoretical and Mathematical Physics at Eidgenössische Technische Hochschule ZürichDoctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at Columbia University College of Physicians and SurgeonsDEA, Theoretical Physics, DEA, Theoretical Physics at Université Pierre et Marie Curie (Paris VI)
Github Skills (55)
bash-completion10
bash10
shell10
bash-configuration9
computation9
probabilistic9
pymc9
pure-python9
bayesian9
version-control9
jupyter-notebook8
bayesian-methods8
bayesian-inference8
probabilistic-models8
statistics8
Programming languages (6)
Github contributions (5)
matrig/vim-config
May 2013 - Mar 2016
Contributions:91 commits, 9 pushes in 2 years 10 months
IBM/sau-explore
Oct 2021 - Sep 2022
Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"
Contributions:6 commits, 1 PR, 4 pushes in 10 months
pytorchneurips-2021deep-learningneuripsmachine-learning
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