Brian Borchers
Department Chairman at New Mexico Institute of Mining and Technology
Socorro, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolBrian Borchers is a professor of mathematics and long‑time department chair at New Mexico Tech with 19+ years of academic experience and a PhD from Rensselaer, specializing in computational and convex optimization. He has a strong track record applying optimization and inverse‑problem techniques to earth sciences, partnering with geophysicists and hydrologists on parameter estimation. Creator of the widely used CSDP semidefinite programming package, he combines deep theory in convex and semidefinite programming with practical software engineering dating back to early embedded and systems work. He regularly teaches linear and nonlinear programming, inverse problems, time series, and mathematical modeling, and is notable for bridging rigorous regularization of ill‑posed problems with hands‑on scientific collaborations.
19 years of coding experience
4 years of employment as a software developer
Burke HighPhd, Mathematics, Phd, Mathematics at Rensselaer Polytechnic Institute
German
Stackoverflow
128reputation
130reached
1answer
0questions
Github Skills (26)
coin-or10
matlab10
lapack10
blas9
openblas9
julia8
science8
bsd8
programming-language7
machine-learning7
hpc7
scientific-computing6
gpu6
python6
gpgpu6
Programming languages (6)
Github contributions (5)
brianborchers/PEIP
Apr 2018 - Jun 2022
MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems
Contributions:1 release, 20 commits, 10 pushes in 4 years 2 months
matlab
coin-or/Csdp
Nov 2006 - Oct 2018
This is the working repository for the CSDP project. CSDP is a solver for semidefinite programming problems. It is a COIN-OR project.
Contributions:1 release, 114 commits, 5 pushes in 12 years 1 month
coin-or
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