Rigor first
An MIT PhD designing molecules with graph neural networks, published in Nature Chemistry and ACS Central Science. I still read the paper before I buy the platform.
Scientist, builder, operator. I trained as an MIT machine-learning researcher, ran a startup, and now lead a 90+ person AI, data science and product organization putting digital twins and agentic AI to work across Caterpillar's global manufacturing.
A 22.6M-parameter language model runs in your browser to answer. Nothing you type leaves your device.
An MIT PhD designing molecules with graph neural networks, published in Nature Chemistry and ACS Central Science. I still read the paper before I buy the platform.
I prototype the digital twin assistant, the RAG pipeline and, yes, this site's in-browser model. Credibility with engineers is earned in code reviews.
Founder with a P&L, chief of staff in a $15B segment, and now an AI leader accountable for outcomes across 150+ facilities.
The model that predicted failures in a peptide synthesizer at MIT is a cousin of the one predicting failures on a Caterpillar line. Each role built a reusable asset the next one used.



Each project below is in production or shaped a capital decision. Numbers are the business outcome, not the model metric.
What I build on my own time, in the open. Digital twins, world models and on-device AI, each with a live site or source on GitHub.
A complete point of view across strategy, data foundations, context, the AI platform, agents, governance, economics, organization, adoption, the first year and the scorecard. Ten beliefs, twelve chapters, written to be argued with.
Published weekly on LinkedIn to 23,000+ followers. Browse all essays.
I am glad to talk with leaders working on AI-driven transformation in manufacturing, supply chain and operations, about leadership roles, board advisory or speaking.