Hello, I'm

Kevin Zhang

Research ML Scientist  ·  Software Engineer  ·  PhD Statistics

I am a Research Machine Learning Scientist at Layer 6 AI (TD Bank Group), working at the intersection of large language models and quantitative modeling. My current research spans AI safety — jailbreak detection, adversarial robustness, and agentic AI — and conformal uncertainty quantification for generative models (ICML 2026), alongside ML-driven optimization of a $300B fixed-income portfolio.

Previously, I was a software engineer at Robinhood on the Identity team, where I built authentication pipelines and ML-based fraud detection that cut fraud losses by millions of dollars, and deployed large-scale models across crypto, options, and securities markets. I hold a PhD in Statistics from the University of Toronto, where my research centered on generative modeling and anomaly detection via optimal transport, stochastic differential equations, and game-theoretic methods.