Every day, energy grids balance gigawatts of power. Fleets route millions of journeys. Markets clear billions in transactions. Behind each of these systems lies a decision problem—and most of them are solved badly.
The gap between what's mathematically optimal and what actually gets implemented is enormous. Academic research produces elegant solutions to simplified problems. Industry operates with spreadsheets and intuition. Both leave value on the table.
I believe in building the bridge.
Principles
Better decisions compound. A 2% improvement in how you dispatch energy, route vehicles, or allocate resources—applied thousands of times per day—transforms economics. Small edges, at scale, create massive value.
Rigor meets reality. The most elegant algorithm is worthless if it can't handle messy data, changing constraints, and operators who need to understand why. Mathematical precision must serve practical problems.
Complexity is the enemy. If you can't explain it simply, you don't understand it well enough. The goal is clarity, not cleverness. The best solutions are ones people actually use.
Build, don't just analyze. Insights without implementation are just consultants' slides. I'm interested in systems that ship, learn, and improve—not theories that stay on whiteboards.
What I'm Building Toward
A world where the companies that power our infrastructure—grids, transport networks, supply chains—have access to decision tools as sophisticated as the problems they face. Where mathematical optimization isn't a niche academic discipline but a practical competitive advantage.
The energy transition alone requires optimizing systems of unprecedented complexity. We can't decarbonize with spreadsheets. We need better tools, and we need them now.