Dennis Scheiba (*1991) is a audio-visual artist who is interested in critical reflection of technology and its political implications upon society and tries to create new technologies which enable a broader and distributed audience. With a background as a data scientist he is familiar with the technology and power behind big datasets and their algorithms as used in A.I. and tries to create artworks which get beyond the traditional usage via generating vast examples of A.I. generated content by taking a look behind the curtain of the technology.
Master of Music
Robert Schumann Hochschule, Düsseldorf
Thesis: Walking Along a Sonic Möbius Strip: Exploration of distributed topologocial network compositions
Kunst Universität Graz
Data scientist, Software developer, Newsroom
Bachelor of Science in Mathematics
Universität zu Köln
Thesis: Stochastik in der Musik
KI Üben, Klavier trainieren
2023-2024, Robert Schumann Hochschule Düsseldorf
Project within the Digi Follow program which explores the technological and artistic practice of machine learning training and practice of a Steinway player piano.
Iannis Xenakis Workgroup
2021-2022, Robert Schumann Hochschule Düsseldorf
Organized a weekly meeting in which the works of greek composer and architect Iannis Xenakis was discussed. At the end there was a concert in the garage of the university in which works of Xenakis were shown as well as works by the workgroup.
Assistant in Music informatics
2021, Robert Schumann Hochschule Düsseldorf
Assisted Prof. Julian Rohrhuber and composer Marcus Schmickler in teaching music informatics for the Sommer- and Wintersemester 2021/2022 which covered topics such as machine listening and application of machine learning algorithms.
2020, Robert Schumann Hochschule Düsseldorf
An introduction to creative programming via the programming language Python in the form of 5 weekly meetings.
- MIZ Babelsberg - Scholarship & Funding
- Deutschlandstipendium - Scholarship