Daniel Rehfeldt

Computational mathematician · optimization software developer · Berlin

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I develop and implement algorithms for hard optimization problems. I especially like building fast solvers for NP-hard combinatorial optimization (e.g., Steiner tree, QUBO) and mixed-integer linear programming, including parallel algorithms for shared- and distributed-memory architectures.

Optimization software I have built is in production across telecommunication, energy, and transportation. Solvers for which I was the main developer have placed 1st or 2nd in several international algorithm competitions and benchmarks (DIMACS, Graph500, Mittelmann, PACE). My Ph.D. thesis was honored with both a German and a European Operations Research dissertation award.

More: bio · solvers · publications.

If you have questions or are interested in collaboration, feel free to get in touch.