Erling Andersen
CEO And Chief Scientist at MOSEK ApS
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolErling Andersen is CEO and Chief Scientist of MOSEK with over two decades leading development and commercialization of high-performance solvers for linear, quadratic and conic convex optimization. A PhD economist by training, he combines deep algorithmic expertise in simplex and interior-point methods with hands-on C, MATLAB and Python implementation skills, having shepherded MOSEK from research code to a widely used optimization package. His background spans academia and industry—postdoctoral work in TU Delft and teaching roles—giving him a rare blend of theoretical insight and product-focused engineering. Beyond core algorithms he’s skilled in sparse matrix techniques, presolve strategies and practical tooling (SCons, licensing, documentation), and even credits a knack for negotiation and tea making as part of running a small technical company.
10 years of coding experience
ph.d. Economics, ph.d. Economics at Syddansk Universitet - University of Southern DenmarkStudenter eksamen mat. fys., Studenter eksamen mat. fys. at Odense Katedral skole
Danish, English
Stackoverflow
436reputation
12kreached
19answers
1question
Github Skills (73)
parallel10
multithreading10
parallel-computing10
numerical-optimization10
optimization10
system-programming10
convex-optimization10
parallel-processing10
convex10
heterogeneous10
gpu-programming10
building-blocks10
python9
concurrent-programming9
cvxpy9
Programming languages (4)
Github contributions (5)
MOSEK/Courses
Jun 2016 - Jul 2016
Contributions:19 commits, 12 pushes in 1 month
erling-d-andersen/parallel-tasks-in-C
Aug 2019 - Mar 2021
Contributions:8 pushes, 1 branch in 1 year 7 months
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