Paolo Muratore
Postdoctoral Researcher at EPFL
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolPaolo Muratore is a postdoctoral researcher with eight years of interdisciplinary experience at the intersection of visual neuroscience, machine learning, and theoretical physics. He holds a PhD in Cognitive Neuroscience from SISSA and has worked on NeuroAI projects comparing biological and computer vision, now studying latent dynamics of neural populations at EPFL's Mackenzie Mathis Lab. Trained in theoretical and mathematical physics, he brings quantitative rigor to computational modelling, brain-imaging pipelines, and diffusion-based decoding of neural data. A recipient of competitive fellowships and summer schools (MIT Brain Minds Machine, SSAS, EITN), he pairs deep academic credentials with hands-on ML tool development and a persistent curiosity for fluid simulations. Colleagues describe him as equally at home probing rat visual cortex or adapting deep nets to explain biological representations.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Theoretical and Mathematical Physics, Master's degree, Theoretical and Mathematical Physics at Sapienza Università di RomaDoctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at SISSAHigh School Diploma, Physics, 100 / 100 Cun Laudae, High School Diploma, Physics, 100 / 100 Cun Laudae at Liceo Scientifico Bruno Toushek
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
temporal9
genie9
journal9
spiking-neural-networks9
doi9
pytorch-lightning8
lightning8
lstm7
pytorch6
deep-learning6
artificial-intelligence5
transformer5
generative-ai4
llm3
Programming languages (1)
Github contributions (5)
myscience/Slow_Students
Feb 2018 - Oct 2022
Contributions:1 PR, 14 pushes, 1 branch in 4 years 7 months
myscience/LTTS
Oct 2019 - Oct 2022
This is the repository for code associated to the paper: "Target spiking patterns enable efficient and biologicallyplausible learning for complex temporal tasks" (published in PlosONE at: https://doi.org/10.1371/journal.pone.0247014).
Contributions:28 commits, 2 PRs, 28 pushes in 2 years 11 months
spiking-neural-networksdoideep-learningjournaltemporal
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.