Doctoral student with ScaDS.AI
My research lies in discrete optimization and its applications in machine learning. This involves studying the complexity of combinatorial optimization problems. I am particularly interested in both the development of exact algorithms via polyhedral analysis and the development of efficient approximation algorithms.
Jannik obtained a Bachelor's degree in Mathematics from the Technical University Dortmund in 2017. In 2018, he spent a semester at the University of Jyväskylä, and in 2019 he did a one-year internship with GE Aviation. After that, he studied discrete optimization and optimization under uncertainty and obtained a Master's degree in Mathematics from the Technical University Dortmund in 2021.