MACHINE LEARNING GROUP

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN

Phil Ostheimer

PhD Student

Bio

Since 2020 Phil Ostheimer has been a PhD candidate at the SeDis (Semantic Disentanglement) group under supervision of Professor Sophie Burkhardt. He joined the group at Johannes Gutenberg University Mainz and moved with the group to TU Kaiserslautern in November 2020. Before joining the group, Phil worked as a Technical Consultant at RELEX Solutions. He holds a master and bachelor degree in computer science (Karlsruhe Institute of Technology and Johannes Gutenberg University Mainz).

Research interests

Phil is interested in probabilistic machine learning methods, especially with applications on text data. Most recently, he is focused on generative models for text data that are based on disentangled representations of style and topic.

Appointments and scientific matters
ostheimer@cs.uni-kl.de

Curriculum Vitae

Education

2016-2019
Master degree in Computer Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
2013-2016
Bachelor degree in Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany

Professional Experience

since 2020
PhD candidate - Researcher, TU Kaiserslautern, Kaiserslautern, Germany
2020
PhD candidate - Researcher, Johannes Gutenberg University Mainz, Mainz, Germany
2019-2020
Technical Consultant, RELEX Solutions, Wiesbaden, Germany

Activities and honors

2019
Master degree with distinction
2017-2018
Germany Scholarship (Deutschlandstipendium)