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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


Exchange student

Kunst Universität Graz


Data scientist, Software developer, Newsroom

RTL Deutschland


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.

Project website

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.

Project website

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.

Seminar website

Python workshop

2020, Robert Schumann Hochschule Düsseldorf

An introduction to creative programming via the programming language Python in the form of 5 weekly meetings.

Workshop website





  • Deutschlandstipendium - Scholarship