John Thickstun
Postdoctoral Scholar - Stanford University - Computer Science.

I am a Postdoctoral Scholar at Stanford, advised by Percy Liang. Previously I completed a doctorate in the Allen School of Computer Science & Engineering at the University of Washington, where I was co-advised by Sham Kakade and Zaid Harchaoui. I completed my undergraduate degree in Applied Mathematics at Brown University, where I was advised by Eugene Charniak and Björn Sandstede. I work on machine learning, with a current focus on controllable generative modeling. I am also interested in applications of machine learning to artificial intelligence problems in the audio, language, and music domains. My research has been supported by a 2017 NSF graduate fellowship, and a 2020 Qualcomm innovation fellowship.
My CV is available here.
The MusicNet dataset has moved to permanent hosting at Zenodo.
selected publications
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Dissertation