Joey Huchette

WEBSITE(S)| Research Site

Joey Huchette develops technology--both algorithms and software--for solving difficult decision-making
problems. His primary research focus is the broad areas of operations research and mathematical optimization,
with a particular emphasis on integer programming and discrete optimization. Much of his recent work has
drawn on applied problems in machine learning and robotics and control.

Joey Huchette joined the Department of Computational and Applied Mathematics at Rice in 2019. Previously,
he spent one year as a postdoctoral researcher in the Operations Research group at Google Research. He
received his PhD in Operations Research from MIT in 2018, and his BA in Computational and Applied
Mathematics from Rice University in 2013. Over the years, he has also spent time at Lawrence Berkeley
National Laboratory, Argonne National Laboratory, and Akamai Technologies.

Research Areas

Operations research, Mathematical optimization, Integer programming.

Teaching Areas

Linear and integer programming, Computational methods in operations research and applied mathematics.

Honors & Awards

2018 INFORMS Optimization Society Student Paper Prize, Second Place

2017 Workshop on Mixed Integer Programming, Best Poster Award, Honorable Mention

2016 INFORMS Computing Society Prize