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Jordan Ellenberg
Jordan Ellenberg helps organizations navigate AI, data-driven decision-making, and mathematical thinking. This mathematician and New York Times bestselling author works with leaders to demystify algorithms, decode AI tools, and apply quantitative reasoning to complex business challenges.
Jordan Ellenberg is a mathematician and writer who reveals the geometric and mathematical structures shaping science, politics, technology, and everyday decision-making.
A professor of mathematics at the University of Wisconsin-Madison, Ellenberg is the New York Times bestselling author of How Not to Be Wrong and Shape. His writing has appeared in The New York Times, The Wall Street Journal, and Slate, bringing complex mathematical ideas to millions of readers.
Ellenberg's work operates at the intersection of abstract math and urgent real-world problems. He explains how geometry informed pandemic response strategies, why ancient proportions surface in financial markets, and what actually happens inside generative AI tools like ChatGPT. Much like Freakonomics brought economics into popular conversation, Ellenberg makes mathematics a lens for understanding systems that govern modern life, giving audiences practical frameworks rather than abstract theory.
Audiences leave his sessions with a clearer understanding of how AI tools work and where their limitations lie, strategies for using mathematical thinking to approach complex problems at work, and a renewed sense that quantitative reasoning is accessible to everyone, not just specialists. His bestselling books serve as proof that these ideas resonate far beyond academia.
Book Jordan Ellenberg to give your audience the mathematical confidence to navigate an increasingly algorithmic world.
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Jordan Ellenberg uses a “lens” framework — taking a real-world system (pandemic response, financial markets, AI tools) and working backwards to reveal the mathematical structure governing it, giving audiences a transferable reasoning method rather than a worked example.
Jordan Ellenberg speaks on mathematical thinking in everyday decision-making, the geometry underlying pandemic response and financial markets, and how generative AI tools such as ChatGPT function and where their limits lie. He is a professor of mathematics at the University of Wisconsin-Madison and the New York Times bestselling author of How Not to Be Wrong and Shape.
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Three to six months ahead is comfortable for most events, and 12 months is better for large conferences, peak-season dates or one specific in-demand speaker. Shorter timelines are workable, and PepTalk regularly fills last-minute and replacement bookings within days. Availability is the constraint, so get in touch as soon as you have a date.
