A project for the 2019 Moog Hackathon created along with Jack Thomson
and Krish Ravindranath. The goal was to sonify the action of driving a
car. To do this we hooked into the On Board Diagnostic Computer of a
car. We retrieved signals provided by the sensors built into the car
such as fuel trim readings, engine rpm, speed of the car and more.
These signals were then processed and outputted by a RaspberryPi to be
used as control signals on a Moog Werkstatt, a simple analog
synthesizer. This project was awarded second place overall at the
This was a project for the 2020 Moog Hackathon along with the same
teammates. This year we set out to create an interface with the
Werkstatt that could be controlled by a human performer but would also
feed back into itself. To do this we created the Noise Blender, a
smoothie-making machine controlled by the signals of the Werkstatt. We
custom-built a DIY blender thats speed would be controlled by the
frequency of the main oscillator of the synthesizer and well as three
ingredient-dispensing mechanisms that were controlled by the
synthesizer’s LFO and actuated by different notes being played on the
keyboard. The idea was that the user could set out to make a specific
smoothie and in the process create a unique sonic landscape or
alternatively set out to make specific sounds and end up with a unique
smoothie. Additionally a contact mic was attached to the blender and
fed back through the synthesizer’s audio stream causing the physical
sounds of the device itself to be mixed into the audio output,
eliminating the need for any external mics if it were to be recorded.
This project received the "Best Performance" award.
The Parachute Extravaganza
A project for my Laptop Orchestra class in Spring 2019. The Parachute
Extravaganza was an instrument, ritualistic performance, and game
meant to bring back the joyful memories of childhood play and sonify
them in a cloud of computer generated noises. Accelerometers were
attached to a parachute to track its motion which was used to control
a generative Pure Data patch while the 18 performers of the piece were
guided in their motions by the gestures of three directors.