Lori Corpuz

Lori Corpuz

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.

Projects

Options Analytics Dashboard

F&F Investors

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.

Neurostack

EEG, N=1

A multimodal biosensing dashboard designed to make latent cognitive representations observable, reproducible, and learnable.

Career Development Agent

AI Agent

An AI that scores job-resume fit, surfaces skill gaps, generates micro-projects to close them, and maps your fastest path to higher compensation.

Back of the Napkin

AI Platform

An AI-powered platform that helps entrepreneurs rapidly validate, refine, and launch business ideas through real-time data, expert insights, and automated market analysis.

Prediction Markets

Coming soon

Applied intelligence systems for extracting signal, belief dynamics, and edge from collective forecasts.

Scientific Frontier Daily

Coming soon

A daily synthesis of ideas at the edge of science, AI, mind, and markets—compressed for signal, not noise.

Study

MIT 6.S191 — Deep Learning

2nd Place, Final Project Competition · Jan 9, 2026

Built a proof-of-concept demonstrating the feasibility of decoding dreams from fMRI data using deep learning and Stable Diffusion.

MIT Deep Learning MIT Deep Learning MIT Deep Learning

Blog

Coming soon

Reading

Currently

  • The New Eight Steps to Happiness
  • Be Love Now

Recently

  • How to Understand Your Mind

Queue

  • Options Volatility & Pricing
  • Deep Learning
  • The Mind's I