Christopher Landschoot is a machine learning engineer and researcher specializing in generative audio, music, speech, and signal processing. Currently, they are developing deep learning algorithms for audio source separation and audio enhancement at Whitebalance, while also serving as a Machine Learning Research Engineer at Output Inc. Previously, Christopher worked as an Audio and Acoustics Specialist at Kirkegaard, where they launched a new product offering and improved acoustic design protocols. They hold a Master's degree in Architectural Acoustics from Rensselaer Polytechnic Institute and have contributed to significant projects throughout their career, including proprietary software development at Threshold Acoustics and leading research efforts that resulted in over 30 citations in the audio and acoustics community. Additionally, Christopher is an active musician, writing, recording, and performing music since 2018.
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