Jamie Levy
Member Of The Board at Huntress
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJamie Levy is a seasoned cyber security leader with 15 years of experience building and guiding threat research, forensic, and detection teams, currently serving on the Volatility Foundation board and as Senior Director of Adversary Tactics at Huntress. He combines hands-on memory forensics expertise—as a core developer on the widely used Volatility framework—with enterprise leadership experience running R&D and EDR teams that translate deep technical research into product detections and incident response. Jamie’s work spans vulnerability research, forensic root-cause analysis, and threat intelligence, and he frequently turns customer telemetry into actionable detections, educational content, and marketing insights. He also runs memory forensics training and has a long track record teaching and publishing, reflecting a rare mix of practitioner-level coding, academic grounding in forensic computing, and public-facing education. An interesting detail: he’s directly contributed code fixes and new modules to Volatility, helping it handle nuanced Windows memory structures and timestamps that many analysts rely on.
15 years of coding experience
16 years of employment as a software developer
MS Forensic Computing, MS Forensic Computing at John Jay College (CUNY)N/A, N/A at Tel Aviv UniversityPhD (unfinished) Computer Science, PhD (unfinished) Computer Science at The Graduate Center, City University of New YorkBA Double Major: Computer Science / Anthropology, BA Double Major: Computer Science / Anthropology at Hunter College
Github Skills (6)
memory-dump10
python10
windows-nt10
file-format9
data-analysis9
filetype9
Programming languages (4)
Github contributions (5)
volatilityfoundation/volatility
Jul 2011 - Oct 2019
An advanced memory forensics framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:484 commits, 45 PRs, 179 pushes in 8 years 3 months
Contributions summary:Jamie made several contributions focused on improving and maintaining the Volatility framework. These include bug fixes addressing issues with specific operating system versions and file structures. The changes involved modifications to Python scripts, primarily altering data type definitions and handling of timestamps within the Windows operating system memory analysis context. The user also implemented a new module and made code adjustments in various plugins related to handling different file formats and system structures.
memoryrampythonmemory-forensicslinux
gleeda/Volatility-Plugins
Mar 2011 - May 2013
Contributions:23 commits in 2 years 1 month
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