About
By connecting inputs and outputs in unconventional ways, artist and creative coder Andreas Refsgaard allows people to experiment, interact and have fun with algorithms and machine learning.
Andreas Refsgaard is an artist and creative coder based in Copenhagen. Working in the field between art and interaction design he uses algorithms, coding and machine learning to explore the creative potentials of emerging digital technologies.
His works have been published in New Scientist, Vice, Gizmodo, PSFK and Designboom, awarded by Interaction Awards and Core77 and exhibited in museums and at festivals in Europe, North America, Asia and Australia.
Bananas and mood tracking
Artistic projects
In his artistic practice, Andreas applies a humorous and cheerful approach to the digital tools and their potential applications, purposes and values. His works often consists of imaginative and unconventional combinations of inputs and outputs allowing people to e.g. play music using eye-movement, control games by making silly sounds or transforming drawings of musical instruments into real compositions.
His playful, somewhat wacky and often interactive works are characterised by a naive and openminded approach, which questions and exposes both the possible benefits and drawbacks of the applied technologies in a straightforward and unassuming manner.
Workshops, talks and commercial projects
Along the side of his artistic practice Andreas teaches workshops on creative uses of AI, code and machine learning at Danish and international art and design schools. He also frequently gives talks and presentations on the subject at conferences, events and festivals throughout the world. As a freelance creative coder Andreas has worked on a number of commercial projects for clients like Google Creative Lab, Carlsberg, Philips and LittleBits.
Andreas Refsgaard and Gene Kogan in Seoul 2016
Contributions
Andreas is a regular contributor to ml4a, a free resource on machine learning for artists and regularly publishes videos, texts and tutorials in attempt to demystify machine learning and facilitate a greater public understanding of the subject. In 2020 Andreas was selected for a ml5.js fellowship, for which he created 24 playful examples of artistic use of machine learning with the simple JavaScript library.
Highlighted achivements
Background
Andreas holds a MSc IT from IT University of Copenhagen and a Bachelor in Sociology from University of Copenhagen and attended the 1-year Interaction Design Programme at Copenhagen Institute of Interaction Design in 2015.
Download CV here.