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Bob Jung

Senior Principal Researcher, Foundational Ai Research @Palo Alto Networks

Albuquerque, NM, US
EMAILS
b••••@paloaltonetworks.com
MOBILE NUMBERS
+15•••••••48

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WORK HISTORY

Feb 2025 — Present

Senior Principal Researcher, Foundational Ai Research @Palo Alto Networks

EDUCATION

2005 — 2006

Cornell University

Masters, Computer Science

2002 — 2004

UNM Anderson School of Management

MBA

1998 — 2002

The University of New Mexico

Bachelor of Science, Computer Science

SKILLS

C++Hardware VirtualizationComputer ScienceBashReverse EngineeringCAlgorithmsSoftware EngineeringNetwork SecurityMachine LearningDistributed SystemsLinuxHigh Performance ComputingSoftware DesignPythonMalware AnalysisSystem ArchitectureComputer Security

ABOUT BOB JUNG

An adept information security professional with 20 years of experience in malware reverse engineering, automated program analysis, and vulnerability assessment; with a masters in machine learning and an MBA.Currently focused on leading research into new and novel methods for malware analysis and detection at scale.Software reverse engineering: Extensive experience with IDA Pro, BinDiff, kernel debugging with windbg, extensive working knowledge of Windows and OSX internalsAutomated program analysis: Considerable background in hardware virtualization and working knowledge of Xen and KVM virtualization platform internals, and working knowledge in the instrumentation of VT-x trap events in support of program analysis.Other skillsets and interests:Supervised machine learning, data visualization, and presenting complicated things in an entertaining yet intuitive wayPublications:Mirkovic, J, Reiher, P.L, Papadopoulos, C, Hussain, A, Shepard, M, Berg, M, Jung, R.(2008) Testing a Collaborative DDoS Defense In a Red Team/Blue Team Exercise.2008 Trans. Computers R, Jung, R, Ramotowski, K.(2004). Attacking agent-based systems.2004 First Symposium on MultiAgent Security and Survivability (p. 3134).Projects:dotnetfile - A pure python.NET parsing library. My contribution was the initial.NET header parsing implementation based on the 100+ page Microsoft spec. https://github.com/pan-unit42/dotnetfile

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