Dan Shiebler is currently the Head of Machine Learning at Abnormal Security. Previously, he led the Web Ads Machine Learning team at Twitter and worked as a Staff ML Engineer at Twitter Cortex, a Senior Data Scientist at TrueMotion, and a Computer Vision Researcher at the Serre Lab.

Shiebler is also a remote PhD student at the University of Oxford. His research focuses on applications of Category Theory to Machine Learning. He is jointly advised by Jeremy Gibbons and Cezar Ionescu.

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