Rebecca Fiebrink

 

 


 

Dr. Rebecca Fiebrink is a Lecturer in Computing at Goldsmiths, University of London. She creates new technologies for digital music and art, and she designs new ways for humans to interact with computers in creative practice. Much of her current research combines techniques from human-computer interaction, machine learning, and signal processing to allow people to apply machine learning more effectively to new problems, such as the design of new digital musical instruments and gestural interfaces for gaming and health. She is also involved in projects developing rich interactive technologies for digital humanities scholarship, and in designing new approaches to integrating the arts into computer science teaching and outreach. Rebecca is the developer of the Wekinator system for interactive machine learning. She has worked with companies including Microsoft Research, Sun Microsystems Research Labs, Imagine Research (recently acquired by iZotope), and Smule, where she helped to build the #1 iTunes app “I am T-Pain.” An active musician, she has performed regularly with a variety of musical ensembles, including as a laptopist in Sideband, the principal flutist in the Timmins Symphony Orchestra, and the keyboardist in the University of Washington computer science rock band “The Parody Bits.” Prior to arriving at Goldsmiths, she held a faculty position at Princeton University.

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Oct 18th 2016

Have you ever wanted to build a new musical instrument that responded to your gestures by making sound? Or create live visuals to accompany a dancer? Or create an interactive art installation that reacts to the movements or actions of an audience? If so, take this course! In this course, students will learn fundamental machine learning techniques that can be used to make sense of human gesture, musical audio, and other real-time data.

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