# Michael Lohaus

University of Tübingen

Department of Computer Science

Sand 14

72076 Tübingen

Germany

Room: B219

Phone: +49 (0)7071 29-70500

E-mail: michael.lohaus(at)uni-tuebingen.de

In October 2017 I started my PhD supervised by Ulrike von Luxburg in the Theory of Machine Learning group (TML) at Tuebingen university, computer science department. I am a scholar in the International Max Planck Research School for Intelligent Systems (IMPRS-IS), a graduate school for PhD students from both university and Max-Planck-Institute in Tuebingen and Stuttgart.

In 2011 I started studying Mathematics and Economics at Cologne University. During my Bachelor and Master programs I visited Lund University in Sweden and Eötvös Loránd University in Budapest for one semester. In 2017 I finished my Master thesis on a Primal-Dual Algorithm for Semidefinite Programs applied on the MaxCut SDP relaxation.

Since the beginning of my PhD, I worked on ordinal data which can be used for classic machine learning problems. In ordinal data we are not given actual distances between data points, but we know if a distance from A to B is smaller than the distance from A to C. I started working on ordinal embeddings, triplet prediction problems or learning the underlying metric between those data points.