Game Theorist

I’ve always loved game theory, but most resources make it feel like you need a textbook (and a tolerance for jargon) before you can use it in real life. So I built GameLab to make game theory feel like something you can play and immediately understand through interactive scenarios—not dense math. ​ I wanted a way to go from “this situation feels strategic” (pricing wars, trust dilemmas, coordination problems) to “oh, I get what’s happening here and why people behave this way,” in a few minutes. GameLab lets you explore outcomes, see incentives clearly, and learn concepts (like Nash equilibrium) in plain language as you go. ​ It started as a simple “solver/visualizer,” but quickly shifted toward storytelling + interaction: short scenarios, immediate feedback, and explanations that appear exactly when you need them. The goal became: reduce friction, keep it intuitive, and make the learning feel like experimenting rather than studying.