Rodrigo Veiga
PhD Candidate
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolRodrigo Veiga is a PhD candidate and physicist based in São Paulo with nine years of research experience exploring the intersection of statistical physics and deep learning. His work leverages theoretical tools from physics to probe the behavior and learning dynamics of neural networks, aiming to generate insights that benefit both fields. Trained at the Universidade de São Paulo through bachelor’s and master’s studies in physics, he combines rigorous analytical background with hands-on modeling of complex systems. Though primarily academic, his GitHub persona as a postdoctoral researcher signals active engagement with research software and reproducible workflows. Rodrigo’s research emphasis on long-standing, physics-informed perspectives offers a fresh vantage point on contemporary machine learning challenges.
9 years of coding experience
University of São Paulo
Portuguese, English
Github Skills (8)
stochastic7
two-dimensional6
diagram4
gradient4
gradient-descent3
deep-learning3
perceptron3
neural-network2
Programming languages (2)
Github contributions (5)
rodsveiga/phdiag_sgd
Jan 2022 - Oct 2022
Repository of the "Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural network"
Contributions:37 commits, 26 PRs, 24 pushes in 8 months
stochastic-gradient-descenttwo-dimensionaldeep-learningtwo-layer-neural-networkdescent
rodsveiga/rbm_flows_ising
Mar 2019 - Jun 2020
Contributions:59 commits, 14 pushes in 1 year 3 months
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.