Joey Huchette
Assistant Professor at Rice University
Houston, Texas, United States
Summary
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Rockstar🎓
Top SchoolJoey Huchette is an Assistant Professor at Rice University with 12 years of experience building algorithms and software for challenging mathematical optimization problems. He holds a PhD in Operations Research from MIT and blends academic research with hands-on engineering, having contributed backend code to the Julia language and to JuMP—a widely used modeling language for optimization—where he extended quadratic and semidefinite programming support. His background includes a Google postdoc and industry internships, giving him a practical focus on robust implementations and testing. Based in Houston, Joey is equally comfortable proving theorems and shipping solver features, and his work often uncovers subtle edge cases in numerical optimization that improve reliability for downstream users.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Operations Research, Doctor of Philosophy (PhD), Operations Research at Massachusetts Institute of TechnologyBachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Rice University
Github Skills (11)
linear-programming10
quadratic-programming10
programming-language10
mathematical-programming10
math10
modeling10
julia10
optimization10
numerical9
science9
testing8
Programming languages (7)
Github contributions (5)
jump-dev/JuMP.jl
Sep 2013 - Jul 2018
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Role in this project:
Back-end Developer & Optimization Specialist
Back-end Developer & Optimization SpecialistContributions:1 release, 4 reviews, 600 commits in 4 years 11 months
Contributions summary:Joey primarily contributed to implementing and testing features related to quadratic programming (QP) and semidefinite programming (SDP) within the JuMP modeling language. They added preliminary support for quadratic constraints, including code changes in the `JuMP.jl` and `solvers.jl` files. They also enhanced testing capabilities by creating new test files, such as `qcqpmodel.jl`, and improving existing tests. This user's contributions focused on expanding JuMP's capabilities for handling optimization problems with quadratic and conic constraints.
conic-programsmathematicallinear-programmingnonlinear-programminglinear
JuliaLang/julia
Apr 2014 - Oct 2015
The Julia Programming Language
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 commits, 7 PRs, 4 pushes in 1 year 6 months
Contributions summary:Joey contributed to the Julia programming language by fixing bugs, adding features, and improving code quality. Their work includes adding helpful error messages related to type constructors and convert methods. They also added functionality for the `endof` function for `Pair` data structure, and added tests. Furthermore, the user addressed a specific issue related to the `showarray` function for sparse matrices.
sciencejulia-languagemachine-learningjulialangpetsc
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