Andreas Wiese

Prof. Dr. Andreas Wiese is an Associate Professor at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Mathematics. He previously held academic positions at the Vrije Universiteit Amsterdam (2021-2022), Universidad de Chile (2016-2021), and the Max-Planck-Institut für Informatik (2012-2016).

Andreas Wiese earned his PhD in Mathematics from TU Berlin (2008-2011) and studied Mathematics and Computer Science at TU Berlin (2002-2008). His research focuses on combinatorial optimization, approximation algorithms, and geometric problem-solving, particularly for NP-hard problems in packing, scheduling, and network flow.

His recent work includes

• A 2024 SODA publication on outlier-aware minimum sum of radii approximation
• A 2023 STOC paper improving weighted flow time minimization
• Foundational contributions to unsplittable flow and geometric knapsack problems

with consistent appearances at top-tier conferences like STOC, FOCS, and SODA.

Andreas Wiese leads the Discrete Optimization research group at TUM, supervising PhD students Alexander Armbruster, Elisa Dell'Arriva, and Sandy Heydrich. He has organized major conferences including LATIN 2024 and ADFOCS 2015, and served on program committees for STOC, FOCS, and SODA.