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Dan Shiebler

Head of Machine Learning - Abnormal Security

Dan Shiebler works as the Head of Machine Learning at Abnormal Security. Previously, he managed the Web Ads Machine Learning team at Twitter ad prior to that he worked as a Staff ML Engineer at Twitter Cortex and as a Senior Data Scientist at TrueMotion.
Having spent some time in Academia, his PhD at the University of Oxford focused on applications of Category Theory to Machine Learning (advised by Jeremy Gibbons and Cezar Ionescu). Before that, he worked as a Computer Vision Researcher at the Serre Lab.

Dan enjoys maths, history podcasts, fantasy novels, riding my bicycle, and travelling. He currently live in NYC.

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