Thomas Hummel
PhD Researcher
Linkedin thomas.hummel at Google Scholar


Thomas Hummel is a PhD candidate in the Explainable Machine Learning group and the International Max-Planck Research School for Intelligent Systems (IMPRS-IS) under the supervision of Prof. Zeynep Akata. He received his master's degree in Intelligent Adaptive Systems from the University of Hamburg in 2019 and his bachelor's degree in Bioprocess Informatics from the Weihenstephan-Triesdorf University of Applied Sciences in 2015.