bio

Maximilian Böther is a Member of Technical Staff at DatologyAI. His research interests lie at the intersection of systems and data-centric AI. He works on Zephon, an open-source data loader for text and multimodal training, and his earlier projects include Mixtera and Modyn. He also contributed to the training of Apertus, Switzerland’s national LLM.

He completed his Ph.D. at ETH Zurich in the Systems Group and the Efficient Architectures and Systems Lab (EASL), supervised by Ana Klimovic and Gustavo Alonso, and interned at Google and Apple. Maximilian’s work has been published at venues such as SIGMOD, VLDB, MLSys, NeurIPS, ICLR, ACL, COLM, and GECCO.

You can find his CV here.