created by Christoph Spiegel

IOL 2025 Wrapped

This year brought new faces to our lab, saw important research breakthroughs, and took us around the world to share our work.

Join us as we take a look back at the past year!

Fresh faces and fond farewells!

Our research lab is constantly evolving with new members joining and others moving on to new opportunities.

Our lab expanded with two new research thrusts!

With these additions, IOL now comprises seven research thrusts spanning integer optimization, continuous optimization, deep learning, quantum mathematics, computational mathematics, optimization for ML, and human-AI interaction.

Our postdocs are taking on exciting new roles!

We published our work in leading venues including ICML, NeurIPS, ICLR, AISTATS, CPAIOR, Mathematical Programming, Mathematics of Operations Research, SIAM Journal on Optimization, and ACM Transactions on Mathematical Software.

Some highlights were …

Temporal canopy height map of Europe

Forests play a critical role in climate regulation and biodiversity, yet monitoring their structure at scale has been challenging.

We present the first 10m resolution temporal canopy height map of the European continent for the period 2019–2022.

This work by Jan Pauls, Max Zimmer, Berkant Turan, and collaborators was presented at ICML 2025 and enables unprecedented insights into forest dynamics across Europe.

SCIP Optimization Suite 10.0 architecture

The SCIP Optimization Suite is one of the most powerful open-source solvers for mixed-integer programming and constraint optimization.

Version 10.0 introduces numerically exact solving for rational MILPs, infeasibility explanations, and significant performance improvements!

Key features include stronger presolving, improved symmetry handling, new heuristics, and major updates to GCG, PaPILO, PySCIPOpt, and the new MIP-DD delta debugger. A collaborative effort with contributions from Ksenia Bestuzheva, Gioni Mexi, Dominik Kamp, João Dionísio, and many others from our team.

FACET multi-agent system for education

Teachers face the challenge of creating differentiated materials for diverse learners in heterogeneous classrooms.

We developed FACET, a multi-agent AI system that helps teachers generate personalized educational materials using large language models!

Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins, and Max Fackeldey co-created this framework with partner schools, integrating cognitive and motivational dimensions of learner profiles. A heartfelt thank you to all partner schools for their insights.

FrankWolfe.jl optimization toolkit

First-order optimization methods are essential for large-scale machine learning and constrained optimization problems.

Our FrankWolfe.jl library was published in ACM Transactions on Mathematical Software, establishing a comprehensive toolkit for practitioners and researchers!

The package provides state-of-the-art Frank-Wolfe algorithm variants with a modular design that enables easy experimentation and extension. Authors include Mathieu Besançon, Sébastien Designolle, Deborah Hendrych, Elias Wirth, and others from our team.

Recognition came in several forms this year.

This research is made possible by continued support …

We also took our research on tour …

International collaboration is at the heart of our research.

Our team members also traveled abroad for research stays at the Institute of Statistical Mathematics in Tokyo, Université Grenoble Alpes, National Taiwan University, and Georgia Tech.

We thank everyone for making 2025 unforgettable. We can’t wait to see what breakthroughs and adventures 2026 brings!

We wish everyone a happy new year!