Andreas Schutt is a Senior Research Scientist at CSIRO’s Data61 with over a decade of experience applying optimization and algorithmic research to real-world problems in energy networks and combinatorial scheduling. He develops advanced solvers and fast solution methods for resource-constrained project scheduling and packing problems, having closed or improved numerous benchmark instances that define the state of the art. Currently he focuses on improving transmission and distribution grid stability under uncertainty using optimization-based approaches that bridge theory and operational practice. Trained with a PhD from the University of Melbourne and early research experience at Fraunhofer, he combines deep algorithmic rigor with practical deployment experience in national research organizations. Notably, his work demonstrates a rare ability to translate hard combinatorial advances into solutions for large-scale, safety-critical infrastructure.
10 years of coding experience
11 years of employment as a software developer
Diplom, Information Technologies, Diplom, Information Technologies at Humboldt-Universität zu Berlin
Contributions:3 releases, 17 reviews, 55 commits in 6 years 1 month
satconstraint-programmingsolversat-solver
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Andreas Schutt - Senior Research Scientist at CSIRO