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Gabriel Earle

Mathematician

AI Research Engineer

Software Architect

Original research in probability, sampling methods, semantic reasoning, knowledge graphs, and AI systems.

Gabriel Earle

Research

Selected Research Areas

Mathematical Research

Probability, Numerical Analysis, Machine Learning, Sampling Methods

Artificial Intelligence

LLMs, Interpretability, Agents, Reasoning, RAG

Knowledge Systems

Ontologies, Knowledge Graphs, Semantic Search

Software Engineering

Python, Cloud, Visualization, Interactive Systems

Featured Work

Selected research and engineering projects.

Armadillo

Semantic and geometric reasoning engine for building code compliance checking.

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Mechanistic Interpretability

Mathematical analysis of the inner workings of large language models, finding intuitive meaning in how neural networks create their responses.

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Publications

Selected Publications

Aggregation methods for computing steady states in statistical physics

Multiscale Modeling & Simulation 21 (3), 1170-1209

2023

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Convergence of stratified MCMC sampling of non-reversible dynamics

Stochastics and Partial Differential Equations: Analysis and Computations 12

2024

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Relative Entropy Methods for the Approximation of Reactive Trajectories and Committor Functions

SIAM/ASA Journal on Uncertainty Quantification 14 (2), 621-660

2025

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Featured Demo

Selected research and engineering projects.

Armadillo Demo

Semantic reasoning engine for IFC ontology generation and building code compliance verification.

Live Demo (Coming Soon)