Scholar
Maximilian Böther
Google Scholar ID: Z6qj7ygAAAAJ
PhD Student @ Systems Group, ETH Zurich
Citations & Impact
Citations
134
H-index
7
i10-index
4
Publications
15
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Publications at top venues including SIGMOD, VLDB, MLSys, ICLR, ALENEX, AI&Law, HotInfra, EuroMLSys
- Recipient of the ML and Systems Rising Star Award 2025
- Modyn paper accepted to SIGMOD’25
- Distributed submodular subset selection paper accepted to MLSys’25
- Mixtera vision paper accepted to HotInfra’24 (co-located with SOSP)
- Vectorized hash table analysis paper accepted to VLDB’23
- Deep learning for combinatorial optimization paper accepted to ICLR
- Co-organized the 'Systems for Cost-Efficient AI' track at the AI+X Summit 2024 in Zurich
Research Experience
- Developed Mixtera: a lightweight data plane for LLM/VLM training
- Contributed to Modyn: a platform for training models on datasets that grow over time
- Involved in Apertus: Switzerland’s national LLM
- ML Intern at Apple (Seattle, starting May 2025), working on RL infrastructure for diffusion models
- Summer research intern at Google (Sunnyvale, CA, 2023), working on scaling submodular data subset selection
- Joined ETH Zurich Systems Group and EASL for Ph.D. in Machine Learning Systems (Nov 2022)
