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Feynman Liang

Feynman is an contract software engineer at Labelbox and statistics PhD student at UC Berkeley. His research lies at the intersection between industry and academia, focusing on distributed machine learning and practical systems for deploying machine learning in production. He is a contributor to Apache Spark and a recreational producer of electronic music.

During his MPhil degree at Cambridge University, he collaborated with Microsoft Research Cambridge and Cambridge University's Faculty of Music to build BachBot: an AI which composes music in the style of Bach chorales.

Content featuring Feynman Liang

43:21
Composing Bach Chorales Using Deep Learning
Composing Bach Chorales Using Deep Learning
GOTO Amsterdam 2017
29:4
Composing Bach Chorales Using Deep Learning
Composing Bach Chorales Using Deep Learning
GOTO Berlin 2019
29:4
Composing Bach Chorales Using Deep Learning
Composing Bach Chorales Using Deep Learning
GOTO Copenhagen 2019
Data Science, ML & AI - What's the Difference?
Data Science, ML & AI - What's the Difference?
GOTO Unscripted
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