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Dan Shiebler    

Head of Machine Learning at Abnormal Security

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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