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Hello and welcome to my homepage! I am a postdoctoral researcher at the Foundations of Machine Learning Systems Group, Department of Computer Science, University of Tübingen, working with Prof. Bob Williamson. I obtained my Ph.D. in Computer Science from the University of Tokyo in 2021, advised by...

Hello! My name is Mina, and I'm a PhD student co-supervised by Moritz Hardt and Bob Williamson. I'm interested in the impact of algorithmic systems on society as a whole. You can find me in N.1.019 at MPI-IS, Tübingen! Personal webpage

Thesis Projects (Bachelor and Masters) See the thesis project page. Present and Past Courses ( Summer 2025) Bridging Theory and Practice: Reliable ML in Data Corruption Scenarios This is a Master-level seminar focused on reliable machine learning under data corruption, combining theory and practice...

The notion of a "style of reasoning" was developed by Ian Hacking, who explored in particular the statistical style of reasoning in XXX. In this project we build upon that work to analyse the style of reasoning of machine learning. We argue that (ironically) although ML makes great use of data, it...

I am professor of foundations of machine learning systems at the University of Tübingen. I am a principal investigator in the Tübingen AI center and a member of the Cluster of Excellence Machine Learning in the Sciences. Current Research My current research is focused on a small number of basic...

Since my undergraduate studies in cognitive science, I have been interested in interdisciplinary research approaches. I started my PhD with Bob in November, 2021. I'm interested in a generalization of classical probability theory known as imprecise probability where one works with sets of...

Machine learning is mainly standing on the pillars of probability theory and statistics. It was Kolmogorov's celebrated book ``Grundbegriffe der Wahrscheinlichkeitsrechnung'' (translated as ''Foundations of the Theory of Probability'') which in 1933 laid the foundation for modern probability theory...