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Prof. Dr. Daniel Schmand – Faculty of Mathematics / Computer Science

In March, Daniel Schmand took on the role of assistant professor of discrete optimization at the Center for Industrial Mathematics. Prior to this, he studied mathematics at the TU Berlin and completed his PhD within the Faculty of Mathematics, Computer Science and Natural Sciences at RWTH Aachen.

He subsequently worked as a post-doctoral researcher at the Goethe University Frankfurt. Daniel Schmand works on efficient solution methods for discrete mathematical optimization problems, as they occur in production, mobility, company management, medicine, and sport, for example. It is often the case that possible uncertainties, such as defective data or uncertain assumptions, are incorporated and treated as such within the optimization process.

Foto von Daniel Schmand