Head of Machine Learning

Dan Shiebler is the Head of Machine Learning at Abnormal Security, where he leads a team of 40+ detection engineers building AI systems that fight cybercrime. His team has created the world’s most advanced messaging cyberattack detection system and protects many of the world’s largest companies, including 12% of the Fortune 500.

He most recently managed the Web Ads Machine Learning team at Twitter. Previously, he worked as a Staff ML Engineer at Twitter Cortex and a Senior Data Scientist at TrueMotion. Dan has also spent time in academia and his PhD at the University of Oxford focused on applications of Category Theory to Machine Learning.