Jordan Thayer
As AI practice lead at SEP Jordan’s responsibilities include educating clients and peers about what AI can do, identifying complex problems AI can address in whole or in part, and incorporating AI into software products that make a difference for their users.
Prior to joining SEP, Jordan held roles as a research scientist for a startup, the Charles-Stark Draper Laboratory, and an R&D consultancy. In each of these positions, he did essentially the same thing: found and delivered feasible solutions to technically challenging problems that arise in a wide variety of domains and industries.
He completed his PhD in artificial intelligence at the University of New Hampshire in 2012. His research focused on using approximation and machine learning to solve problems known to be computationally intractable, such as automated planning and scheduling problems.