Nullspace

Graham Mueller

Applied mathematics refugee, PhD economist, interested in time series, machine learning and graph theory.

Beyond Tokenomics: A Framework for Monitoring AI Costs at Enterprise Scale

Why $/token dashboards keep surprising CEOs, and what a small experiment clustering my own Claude prompt history suggests about monitoring AI spend properly

Differentiable Community Detection with GNNs and Stochastic Block Models

Using SBM likelihood as loss functions for unsupervised GNN training

Using Hypervectors for Efficient Anomaly Detection in Graph Streams

Real-time network anomaly detection with Hyperdimensional Computing

Using Machine Learning to Predict Critical Security Vulnerabilities from Twitter

Our NAACL 2019 paper on analyzing cybersecurity threats on social media was featured in Wired

Boxing's Grandmasters Part II