Christopher Metz

Data Science Support
Data Science Center


COMPETENCIES
Machine learning; artificial intelligence; deep learning; high-performance computing; distributed training of neural networks; GPU acceleration; software and system architecture; applied research.

SHORT PROFILE
Christopher Metz acquired a Bachelor’s degree in Business Informatics (2015) followed by a Master’s degree in Informatics – Distributed and Mobile Applications (2017) at Osnabrück University of Applied Science. After his studies, he worked as a software developer at CKS Systeme GmbH, where one of his main tasks was to implement interfaces for e.g. medical equipment, web services, police offices or fire departments. Moreover, he was responsible for the development of products for the police and fire department. From October 2018 until April 2020, Christopher Metz worked as research associate in the project ‘Environment, Health and Safety based on Artificial Intelligence’ at Osnabrück University of Applied Science. He was responsible for the establishment of a GPU cluster for deep learning models as well as the development of AI models for NLP (Natural Language Processing).

Christopher Metz contributes to the DSC with his extensive knowledge in developing and implementing data interfaces and neuronal networks, in particular deep learning. In his PhD, he is working on ‘Neural Hardware Search’. His focus is on automated methods for determining the best graphics card to meet given constraints in the execution of neural networks. In his role as Data Science Support at the DSC, he is responsible for building and managing the DSC infrastructure and supports researchers from different disciplines in developing, programming and implementing Data Science techniques such as Machine Learning.

He is particularly interested in the advancement of AI methods and the area of infrastructure for high-performance-computing.