Rodrigo Veiga
Scholar

Rodrigo Veiga

Google Scholar ID: SIzY0mgAAAAJ
University of Nottingham
Machine LearningStatistical PhysicsStatistical InferenceArtificial Neural Networks
Citations & Impact
All-time
Citations
104
 
H-index
4
 
i10-index
2
 
Publications
8
 
Co-authors
12
list available
Resume (English only)
Research Experience
  • Starting September 2025, I will be an Assistant Professor in the School of Mathematical Sciences at the University of Nottingham.
  • In June 2025, attending the Special Topic School, Statistical Mechanics of Spin Glasses, Neural Networks and Learning, at the Hausdorff School for Mathematics in Bonn, Germany.
  • In July 2024, presenting our work, Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features, at ICML with Anastasia Remizova.
  • In May 2024, visiting ICTP in Trieste, Italy, to attend and give a talk at the Youth in High Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference conference.
  • In April 2024, attending and giving a talk at the From Theory to Practice workshop at the AIMS Research and Innovation Centre in Kigali, Rwanda.
Background
  • I am an Assistant Professor in the School of Mathematical Sciences at the University of Nottingham. My research lies broadly in machine learning theory, with a particular focus on high-dimensional problems at the intersection of machine learning, statistical inference, and statistical mechanics.