Chris Coey

This academic site is new in May 2022 and still a bit bare-bones!

I am an Australian citizen originally from sunny north Queensland.

I did my BA at Harvard, concentrating in applied mathematics with a secondary in economics, and in 2013 I graduated summa cum laude with highest honors in field. My undergraduate research/thesis focused on network optimization and large scale mixed integer linear optimization algorithms, advised by Ozlem Ergun. I was a teaching fellow for three optimization courses at Harvard, including Applied Math 121.

In May 2022, I finished my PhD at the MIT Operations Research Center. My doctoral research/thesis focused on conic formulations and algorithms for convex optimization, mixed-integer convex optimization, and nonconvex optimization, and I was advised by Juan Pablo Vielma. These methods are implemented in open source solvers (see software) written in Julia and accessible through the optimization modeling language JuMP. Since becoming involved with the JuMP-dev community in 2016, I have participated annually in the JuMP-dev workshops. I was the teaching assistant for the graduate level course 15.083J (Spring 2018): Integer programming and combinatorial optimization.

I am continuing my research and software engineering projects as a postdoc / research scientist at the MIT Sloan School of Management.