Bounded autonomy
Security agents should act only within explicit authority, scope, and control boundaries.
AI × Security Engineering
Making autonomous security validation trustworthy.
I build agentic AI systems for bounded, evidence-driven security testing—helping teams move from vulnerability discovery to verified exploitable risk.
Authorized by design
Verified by evidence
Explainable in operation
What I’m working toward
Trust is a system property.
Autonomous security testing needs more than capable models. It needs enforceable boundaries, defensible evidence, and operator control.
Verified exploitability
Findings become useful when evidence distinguishes theoretical exposure from demonstrated risk.
Agentic system security
Identity, authorization, tool use, memory, and human intervention belong in the agent threat model.
Operational trust
Reproducibility, audit trails, and explainable decisions turn autonomous testing into accountable practice.
Selected work
From research to operating systems.
A throughline across security engineering, multimodal AI, and deployed analytical systems.
Defending the Next Frontier of AI Infrastructure Threats — MCP Security
A practical analysis of the attack surface created when AI agents invoke tools and connect to sensitive systems.
On Leveraging the Visual Modality for Neural Machine Translation
Research on using visual context to improve neural machine translation on the How2 dataset.
Spark Creativity by Speaking Enthusiastically
Multimodal research examining how communication signals can support AI-assisted coaching and feedback.
Inventive record
Interactive AI systems
Named inventor on patent families for AI systems that analyze multimodal communication and generate structured feedback.
About
I translate ambitious AI ideas into systems people can operate, inspect, and trust.
I’m an AI and software engineering leader with more than two decades of experience building products and leading teams across cybersecurity, AI infrastructure, communication intelligence, and enterprise software.
My current work centers on trustworthy agentic AI for autonomous penetration testing and continuous security validation. Earlier work spans large-scale infrastructure optimization, machine-learning retrieval, multimodal analysis, and AI-powered communication coaching.
Carnegie Mellon University
Master of Information Systems Management
University of Science and Technology of China
Master’s and Bachelor’s in Computer Science
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