Stanford CIFE Guest Speaker
I’m excited to share a milestone in my career: my recent presentation at Stanford University’s Center for Integrated Facility Engineering (CIFE). In this talk, I explored how AI-driven scheduling and data-centric approaches can transform construction projects of every scale—from data centers to heavy civil infrastructure. Disclaimer: The scenarios and examples used in this presentation are purely hypothetical, provided for illustrative purposes only. Any resemblance to actual projects, companies, or individuals is entirely coincidental.
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AI as a Catalyst for Scheduling

Generative tools like ALICE Technologies aren’t just theoretical—they deliver real project savings by rapidly testing multiple construction scenarios.

Data-Driven Decision Making

Whether you’re a contractor or owner, harnessing precise analytics and historical data ensures more accurate baseline schedules and fewer unexpected delays.

Hands-On to High-Tech

As both a former union carpenter and an industry consultant, I’ve seen how bridging practical field insights with advanced scheduling techniques yields the best outcomes.

Construction projects increasingly demand faster delivery and tighter cost controls. AI scheduling helps us shift from reactive problem-solving to proactive scenario planning—and that’s a game-changer for both major enterprises and smaller GCs alike. Sharing these ideas at Stanford CIFE underlines how academia and industry can come together to push the boundaries of what’s possible.

If you’re interested in applying these same techniques to your projects—whether it’s data center build-outs, heavy civil expansions, or transportation initiatives—feel free to set up a call I’m always open to discussing how AI-driven solutions can accelerate timelines and cut unnecessary costs.

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