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

Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement

Automation of Rietveld Refinement through Machine Learning

Disentangling Feature Learning from Generalization in Neural Networks

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)

An Exactly Solvable Model for Emergence and Scaling Laws in the Multitask Sparse Parity Problem

Algorithmic Stability of Minimum-Norm Interpolating Deep Neural Networks

Exploiting the equivalence between quantum neural networks and perceptrons

HyperTendril: Visual Analytics for User-driven Hyperparameter Optimization of Deep Neural Networks

Talks

Talk at Mathematics × AI: Challenges and Opportunities

June 29, 2026

Talk at Seoul, Korea,

Special Session Talk at International Conference for the 80th Anniversary of the Korean Mathematical Society

June 23, 2026

Talk at Seoul, South Korea,

ICLR 2026

April 23, 2026

Poster at Rio de Janeiro, Brazil,

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams