Originally conceived in 2008, Ghost in the Machine (GITM) consists of a webcam and display which mixes and crossfades events in realtime with motion-activated video it has recorded previously. It continually shifts between 3 states: individual, community, and the world.
GITM has been shown in many venues and contexts.
SoundBlocks is a tangible environment where youth connect blocks to describe network dataflow. The environment explores digital sound manipulation as a personal, meaningful and fun artistic endeavor, rather than as a venture into mathematical, electronic or networking relationships.
TV Mountain is an art piece which was initially installed as part of TechArtICT’s Dreamgrass installation at Exploration Place Fall 2022. It consisted of 12 TVs at various angles and orientations, together forming a jumbotron. As part of Dreamgrass, it subjected faceless child-like objects to a litany of 80s commercials. The working remote enjoyed a…
In May 2022 I founded TechArtICT, collective which creates and installs interactive and immersive artwork. TechArtICT features a rotating group of artists and engineers who collaborate, imagine then build innovative work at the intersection of engineering and art. TechArtICT has created several installations regionally, including Cybergarden at Towne West Mall, Search for Solace at the…
I built a connector to access the Gameboy circuitry using a solderless breadboard and used it to interface flash memory and a Digital to Analog Convertor (DAC) to the Gameboy.
In Fall 2022, TechArtICT installed Dreamgrass at Exploration Place. The installation was presented as part of the Tallgrass Film Festival. Dreamgrass described a dystopian world where a corporate conglomerate called Happy Corp proudly demonstrated its aggressive use of 80s technology to pacify children. Dreamgrass featured Wichita artists Ernie Kind, Tom McGuire, Kyra Rubinstein, Pankaja Withanachchi,…
I worked with VÃctor Adán to explore how if we might train a machine to recognize chords changes in music. We tried multiple models to solve the problem, including Support Vector Machines, Neural Networks, Hidden Markov Models, and a few variations of Maximum Likelihood systems.