I’m Devin Griffith, a process systems engineer. I work on optimization and control of chemical processes: nonlinear model predictive control, dynamic real-time optimization, parameter estimation, process simulation, and hybrid modeling.
My doctoral work at Carnegie Mellon, with Lorenz Biegler, developed stability guarantees for economic and adaptive-horizon nonlinear model predictive control. Since then I’ve built industrial process optimization software used in plants and refineries, as both an engineer and a product manager.
The demos on this site are the lecture-sized version of that work: small, exact models you can solve live in front of a class, with the formulations written out and every repository public.
