Max Zimmer
Fourth-year PhD candidate in Mathematics at TU Berlin
Research Area Lead of iol.LEARN at the IOL Lab of Zuse Institute Berlin
Advisor: Prof. Dr. Sebastian Pokutta
Research: My research interests focus on Deep Learning, Efficient ML, and Optimization. Specifically, I work on enhancing the efficiency of large Neural Networks through sparsity, pruning, quantization, and low-rank optimization. Additionally, I am interested in Federated Learning, Explainability & Fairness, as well as applying ML to solve pure mathematics problems. Please take a look at my list of publications and feel free to reach out for questions or potential collaborations!
Previously: Before joining IOL as a student researcher in 2020, I worked on Nash Flows over Time with Leon Sering at the COGA Group at TU Berlin. During my BSc and MSc in Mathematics at TU Berlin, I got the chance to intern in the research groups of Prof. Sergio de Rosa at Università degli Studi di Napoli Federico II and Prof. Marco Mondelli at IST Austria. Since 2022, I have been a member of the BMS graduate school, part of the MATH+ Cluster of Excellence. You can find my full CV here.
latest news [see all]
11/2024 | Our work on the Hadwiger-Nelson problem has been featured in the spanish newspaper El País! |
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10/2024 | Happy to share that I am now the Research Area Lead of the Machine Learning subgroup of IOL, iol.LEARN, alongside Sai Ganesh Nagarajan! |
07/2024 | Join our Team in Berlin - We are seeking highly motivated PhD students to work on (efficient) Deep Learning, preferably with strong math/CS background and PyTorch experience. Happy to answer questions via email or at ICML2024 in Vienna! Directly apply here! |