John Seymour is a Data Scientist at ZeroFOX, Inc. by day, and Ph.D. student at University of Maryland, Baltimore County by night. He researches the intersection of machine learning and InfoSec in both roles. He’s mostly interested in avoiding, and also helping others avoid, some of the major pitfalls in machine learning, especially in dataset preparation (seriously, do people still use malware datasets from 1998?). He has spoken at both DEFCON and BSides, and aims to add BlackHat to the list in the near future.

Appearing at:

• How to build a malware classifier [that doesn’t suck on real-world data]

---