CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Assessing Runtime Electromagnetic Detection of CPU Hardware Trojans Targeting Kernel Memory.

Topics: Hardware Trojans

BRAID: Uncovering Malware Family Relationships in Data-Scarce Settings.

Topics: Malware Analysis, Malware Behaviors, Malware Family Relationships

Beyond the Stars: Multimodal Detection of Scams on GitHub

Topics: Multimodal Learning, Scam Detection

LUMEN: A Systems Approach to LLM-Guided Activation of Hidden Behaviors in Malware

Topics: LLMs, Malware Analysis, Malware Behaviors

Understanding LLMs Ability to Aid Malware Analysts in Bypassing Evasion Techniques

Topics: Evasion Techniques, LLMs, Malware Analysis

Crashtalk: Automated generation of precise, human readable, descriptions of software security bugs

Topics: Explainable Software Security, Root Cause Analysis

Sok: An essential guide for using malware sandboxes in security applications: Challenges, pitfalls, and lessons learned

Topics: Malware Analysis, Malware Sandboxes

Beyond the gates: An empirical analysis of HTTP-Managed password stealers and operators

Topics: Malware Analysis, Threat Intelligence

On the feasibility of remotely triggered automotive hardware trojans

Topics: Automotive Security, Hardware Trojans

The circle of life: A large-scale study of the IoT malware lifecycle

Topics: IoT Security, Malware Analysis

Determining the number of clusters via iterative consensus clustering

Topics: Clustering, Consensus Learning, Data Mining

Talks

From Unreliable to Trustworthy: Designing LLM-assisted Workflows for Exposing Malware’s Hidden Behaviors

June 15, 2026

Talk at University College London Information Security Seminar, London, United Kingdom

Zelos: Applying Emulation to Cross Architecture Root Cause Analysis

August 05, 2020

Talk at Black Hat USA 2020, Las Vegas, NV, USA

Teaching

Teaching experience 2

Topics: []

Teaching experience 1

Topics: []

Service and leadership

• Currently signed in to 43 different slack teams