Markus Engelund Mathiasen
PhD Student
Computer Science, Aarhus University
markusm@cs.au.dk

About Me
I am an ambitious student currently doing my PhD in computer science at Aarhus University. I work in the research section Algorithms, Data and Artificial Intelligence with Professor Kasper Green Larsen as my supervisor. The PhD primarily focuses on learning theory where we try to achieve a better theoretical understanding of classic learning algorithms. In my spare time, I like doing competitive programming, honing my skills by solving and implementing a variety of challenging algorithmic problems.
If you are interested, you can find my CV here.
Publications
The Many Faces of Optimal Weak-to-Strong Learning
With: Mikael Møller Høgsgaard and Kasper Green Larsen.
Conference: Neural Information Processing Systems (NeurIPS 2024).
Improved Replicable Boosting with Majority-of-Majorities
With: Kasper Green Larsen and Clement Svendsen.
Conference: Algorithmic Learning Theory (ALT 2026).