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Dan Shiebler

Head of Machine Learning, Abnormal Security
Bio

As the Head of Machine Learning at Abnormal Security, Dan builds cybercrime detection algorithms to keep people and businesses safe. Before joining Abnormal Dan worked at Twitter: first as an ML researcher working on recommendation systems, and then as the head of web ads machine learning. Before Twitter Dan built smartphone sensor algorithms at TrueMotion.

BRINGING TOGETHER THE BRIGHTEST MINDS IN AI AND MACHINE LEARNING

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