CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Parameter-free approximate equivariance for tasks with finite group symmetry

Riccardo Ali, Pietro Liò, Jamie Vicary

Entropy-Lens: The Information Signature of Transformer Computations

Riccardo Ali*, Francesco Caso*, Christopher Irwin*, Pietro Liò

Metric Learning for Clifford Group Equivariant Neural Networks

Riccardo Ali*, Paulina Kulytė*, Haitz Sáez de Ocáriz Borde, Pietro Liò

Bias/Variance is not the same as Approximation/Estimation

Gavin Brown, Riccardo Ali

Talks

Equivariance and algebraic priors in neural networks

November 17, 2025

Introduction to Mechanistic Interpretability Permalink

November 08, 2025

Teaching

Supervisor for Introduction to Probability

Supervisor for Discrete Mathematics

Supervisor for Object-Oriented Programming

Service and leadership

• Currently signed in to 43 different slack teams