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About Lamont

I've been in AI for over 20 years.
Here's what that actually means.

Computational neuroscientist. AI hardware founder. MBA faculty. Stanford StartX affiliate. The common thread: understanding how intelligence works — and what that means for the people trying to build with it.

Chapter 01

The Scientist

I started in computational neuroscience — studying how brains actually compute. This was AI before the field had a hype cycle, before ChatGPT, before the headlines.

What studying intelligence taught me is what most AI strategy work misses: how these systems behave, where they break, and why most predictions about them age badly.

"If you understand the substrate, the strategy becomes obvious."
Chapter 02

The Builder

I left theory to build AI hardware. Raised capital. Shipped product. Failed at things that only fail when you're in the room.

It is one thing to advise. It is another to have signed the contracts, made the calls, and lived with the consequences.

"Operators recognise operators. That's why my advice lands."
Chapter 03

The Faculty

When I walked into the AGSM MBA classroom, the curriculum was three years behind reality. I redesigned it to reflect AI as the field actually is — not the version a textbook is willing to commit to.

Today I teach 200+ MBAs annually. They keep me honest about what's working in the wild.

"The classroom is my pressure-test for every framework I publish."
Chapter 04

The Connector

Science and business. Startups and corporations. East and West. Ideas and execution. I have always been the bridge.

Stanford StartX, Main Sequence, AGSM, the founder network — none of it is decoration. It's how the work actually gets done.

"Strategy is a network problem disguised as an analysis problem."
Credentials
Computational Neuroscience20+ Years in AIAGSM FacultyStanford StartXMain Sequence VCAI Hardware Founder
Values

How I work.

Practitioner Honesty

What I've actually seen, not what's trending.

Purposeful Clarity

Plain language. Sharp frameworks. No fog.

Wisdom Over Noise

Two decades of context beats this week's headline.

Human-Scale Impact

AI is for people. The strategy starts there.

Generous Generosity

Open networks. Warm intros. Show up first.

Speaking & Affiliations

AGSM · UNSWStanford StartXMain SequenceAI Conferences