I'm a machine learning researcher at the University of Washington. My interests lie in AI for music, images, and art.
Using recent advances in generative modeling to enable a bayesian approach to source separation.
Replace your background using a handheld smartphone. Our results significantly outperform segmentation methods.
Analyzing repetition in a song allows us to find choruses and song structure.
DJing and producing is what sparked my interest for AI/ML in the first place. I'm always looking to blend human and artificial creativity.
Photography allows me to capture the beauty of the natural world and those who inhabit it. I've also done some events from time to time.
I recently spent 3 months in Ethiopia with Harvard CS50 to implement university curriculum and train instructors. Read more about the project.
I worked for several years on cutting edge vision and analytics for sports startup Second Spectrum.