About Me
AI Researcher and Engineer
I'm an AI researcher and engineer striving to develop of technology. For the past 8 years, I've been engineering large ML systems and publishing frontier AI research with the Vector Institute, University of Toronto, Harvard, Oxford, and other leading AI institutions. I'm currently the co-founder of a stealth startup building security for AGI.
I've built state-of-the-art AI models that turn text into keyboard/mouse actions (NeurIPS 2023), created a system for scaling test-time compute to improve LLMs without additional training (CoLM 2025), and developed train-time RL algorithms that teach LLMs to reason during pretraining (LanGame @NeurIPS 2024). I've also created AI algorithms to help diagnose cancer, built the entire ML infrastructure for a top surgical navigation company, and invented new neural network architectures inspired by the human brain. In my free time, I enjoy coding systems from scratch in C/C++, including operating systems, 3D rendering engines, and game engines.
I first fell in love with the field of AI since it was the bridge between both of my passions: the brain and technology. Since then, I have spoken at various international conferences with the aim of educating and inspiring others to think about future of AI. To ensure a positive future for humanity alongside general AI, we must ask and explore these questions now.
My goal is to help spark the next wave of human innovation and help humanity reach a new evolutionary step. Most importantly, to keep humanity safe and secure our future alongside superintelligent AI systems.
