Emergence · AI · Markets · Mind
I build systems that find alpha where others see noise.
My work lives at the intersection of AI, markets, and cognition. I design tools that surface latent structure*—in EEG signals, options flow, prediction markets, and human behavior—treating intelligence as a dynamical process, not a static trait.
Track record: $220M+ raised across startups. 0→1 product underpinning a $15B revenue line. Built conviction across venture capital, hedge funds, investment banks, and early-stage startups—each layer sharpening the next. Now building and investing at the frontier of emergence.
I train rigor through deep learning and reinforcement learning, and train the mind through the Kadampa Buddhist lineage. Both disciplines sharpen the same skill: seeing what's actually there.
Always building. Always learning. Happy to talk shop.
*Latent structure: patterns that exist but aren't immediately visible.
A decision-intelligence platform that fuses market data, analyst signals, and options pricing to surface asymmetric trades.
10x returns over 2 years live. Currently backtesting to 2012.
A multimodal biosensing dashboard designed to make latent cognitive representations observable, reproducible, and learnable.
An AI that scores job-resume fit, surfaces skill gaps, generates micro-projects to close them, and maps your fastest path to higher compensation.
An AI-powered platform that helps entrepreneurs rapidly validate, refine, and launch business ideas through real-time data, expert insights, and automated market analysis.
Applied intelligence systems for extracting signal, belief dynamics, and edge from collective forecasts.
A daily synthesis of ideas at the edge of science, AI, mind, and markets—compressed for signal, not noise.
Built a proof-of-concept demonstrating the feasibility of decoding dreams from fMRI data using deep learning and Stable Diffusion.
Coming soon