Our team

Konstantin Genin has BAs in Mathematics and Philosophy from Brown University. He received a PhD in Logic, Computation and Methodology from the Philosophy Department at Carnegie Mellon University. His dissertation was supervised by Kevin Kelly. Before joining the cluster, he was a Postdoctoral Fellow in the Philosophy Department at the University of Toronto, supervised by Franz Huber.

Inspired by formal learning theory, Konstantin uses topological methods to investigate the inherent complexity of problems in statistics and machine learning. In particular, his work gives a non-circular epistemic justification for Ockham's razor in statistical inference. He is currently focused on applying these methods to problems in causal inference and algorithmic fairness.

personal page | @k_genin | konstantin.genin (at) uni-tuebingen.de 

Sebastian Zezulka works on methods for the normative evaluation of algorithmically informed policies, performativity in algorithmic fairness, as well as problems of evidence-based policymaking and philosophy of (social) sciences as they arise in machine learning.

He has studied Philosophy & Economics at the University of Bayreuth, Philosophy of the Social Sciences at the LSE, and Psychometrics, Econometrics, and Machine Learning at the University of Tübingen.

@se_zezulka | sebastian.zezulka (at) uni-tuebingen.de 

Raysa Benatti investigates computer science applications to legal and public policy-related settings; her current research focuses on measuring effects of bias sources in statistical evidence used in court and policy decision-making. Previously, she worked on automatic identification of gender biases in legal text using natural language processing methods. 

She has a M.Sc. and a B.Sc. in Computer Science from the University of Campinas, and a bachelor's degree in Law from the University of São Paulo. Raysa was a fellow in the Berkeley Equity and Access in Algorithms, Mechanisms, and Optimization research group (BEAAMO) at the University of California, Berkeley, and is also part of the Mechanism Design for Social Good (MD4SG) initiative.

personal page | raysa.benatti (at) uni-tuebingen.de

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

personal page | linkedin | email@provider.com | etc