This, however, isn't the only energy-saving venture he's put his talents toward. Using mathematical models of the movement of schools of fish, Dabiri has optimized wind farms across the world. Wind farms mirror schools of fish in that each object pushes fluid toward the others, creating resistance. Fish have evolved elegant solutions to this problem, and Dabiri mapped them. “He was the first person to think of [modeling wind farms on fish schools.] It’s a game-changer,” says one of Dabiri's engineering professors at Princeton, Alexander Smits. Dabiri started Scalable Wind Solutions, a company with plans to start selling his optimizing software. This software can make it possible to produce ten times more energy from a given field by squeezing more turbines on to the land with minimal interference with each other, and it will hopefully be coming to market in two years.
Dabiri originally planned to work in the Toledo auto industry, like his father before him. But his summer spent as a Princeton undergrad, at the California Institute of Technology, filming jellyfish and writing mathematical models to describe their movement changed all that. He fell in love with engineering inspired by biology. "To tap the inexhaustible supply of inspiration found in nature," he states as his goal.