Joseph Zadeh is a Data Scientist on the Splunk User Behavior Analytics team. He has been active in the security space since the first time he attended a hacker con (Defcon 8) and since then he has been passionate about security research in different forums at the grassroots level. He received a B.S. from the University California, Riverside and an M.S. and Ph.D. from Purdue University in mathematics. He has presented or co-presented at various security conferences, including DEFCON, BSides, Torcon and Blackhat to name a few. Zadeh loves to work on behavior-based prediction problems and artificial intelligence such as covert channel detection probabilistic identity resolution, machine learning-driven risk profiling and fraud detection.