Clarence Chio graduated with a B.S. and M.S. in Computer Science from Stanford within 4 n data mining and artificial intelligence. He is in the process of authoring the O’Reilly book “Machine Learning and Security”, and currently works as a Security Researcher at Shape Security, building a product that protects high valued web assets from automated attacks. At Shape, he works on the data analysis systems used to tackle this problem. Clarence spoke on Machine Learning and Security at DEF CON 24, GeekPwn Shanghai, PHDays Moscow, BSides Las Vegas and NYC, Code Blue Tokyo, SecTor Toronto, GrrCon Michigan, Hack in Paris, QCon San Francisco, and DeepSec Vienna (2015-2016). He had been a community speaker with Intel, and is also the founder and organizer of the ‘Data Mining for Cyber Security’ meetup group, the largest gathering of security data scientists in the San Francisco Bay Area. His popular DEEP-PWNING deep learning fuzzing framework can be found at https://github.com/cchio/deep-pwning.