Hello! I am a teacher and engineer. I studied Computer Science at Stanford University, and my emphasis is in computing systems. I received my undergraduate degree from Illinois Wesleyan University.
Today, I am focused on machine learning systems at Amazon Science. Before that, I worked on AI architecture and strategy at Microsoft Research. My main interests are in machine learning systems hardware capabilities (GPUs, quantum compute) and mentorship. Please feel free to find me on LinkedIn, and here's a recent CV.
I teach CS253, Software Development, at Illinois Wesleyan University, and I love my golden retriever and three rescued cats.
Email: georgedw [at] stanford.edu
Publications
Daniel Will George, Theo Rogers, Zuhaib Akhtar, Abbe Ganji. Diagnosing Embedding Space Collapse in Two-Tower Recommendation Systems for Large-Scale Event Session Personalization. arXiv preprint arXiv: 1505.07326, 2025. [pdf]
Daniel Will George. Continual Learning for Real-Time Credential Stuffing Detection: A Neural Embedding Approach with Temporal Stress Testing. Daniel George Research, 2025. [pdf]
Daniel Will George. Resolving Feature Space Noise in Large-Scale Customer Action Propensity Prediction. Daniel George Research, 2025. [pdf]
