Tom Sühr

Tom Sühr is a doctoral candidate at the Max Planck Institute for Intelligent Systems in the Human Aspects of Machine Learning group lead by Samira Samadi. He completed his Msc. in Information Systems Management at TU Berlin while being a research assistant at Harvard Business School. He is currently working on research projects with Harvard University and the University of Tübingen. During his undergraduate studies he was a research intern at the Max Planck Institute for Software Systems advised by Krishna Gummadi and Asia Biega as well as a student researcher at the chair of complex distributed systems (CIT) advised by Meike Zehlike and Carlos Castillo. He is broadly interested in algorithmic fairness, fair systems and economic implications of algorithmic decision making.