Social Computing Group
Joachim's main research interests are in the areas of machine learning and data science for social good, with a focus on algorithmic fairness and feedback loops in automated decision-making.
Joachim received both BSc and MSc in Informatics from the University of Zurich with minors in Economics and Data Science. During that time, he also spent one semester at Universitat Pompeu Fabra Barcelona and one semester at Universidad de Guadalajara. Before starting his PhD, he interned as an application developer (2014-2015) and worked in management and technology consulting (2018-2019).
In 2022, Joachim was a Data Science for Socal Good Fellow at Carnegie Mellon University.
Currently, Joachim interns at the Max Planck Institute for Intelligent Systems (Social Foundations of Computation Department) in Tübingen (affiliated with the Algorithms and Society Group at the ELLIS Institute Tübingen) where he is working with Celestine Mendler-Dünner and Moritz Hardt.
See Google Scholar for all publications.
See the full list of available projects at our group here.