Goals
- Deliver cyber concepts in short, focused learning units.
- Boost confidence in secure data-handling behaviors among researchers.
Strengthening third-party risk governance and secure supply-chain operations through evidence-based research and hands-on cyber expertise.
I am a doctoral candidate at the University of Maryland Global Campus (UMGC), an RSAC Security Scholar and DoD Cyber Scholarship (CSA) Scholar, and an adjunct instructor teaching cyberspace operations. My work sits at the intersection of cybersecurity, supply-chain risk, and evidence-based management.
I am a cybersecurity professional, educator, and U.S. Navy veteran focused on third-party risk, supply-chain security, and evidence-based decision-making. I am currently pursuing a Doctor of Business Administration (DBA) at the University of Maryland Global Campus (UMGC), where my research examines how organizations can strengthen vendor due diligence and reduce exposure to high-risk or fraudulent suppliers.
I hold a B.S. in Computer Networks and Cybersecurity and an M.S. in Cyber Operations from UMGC, as well as a Graduate Certificate in Cybersecurity Risk Management from Old Dominion University (ODU). As an RSAC Security Scholar and DoD Cyber Scholarship (CSA) Scholar, I bridge academic research, hands-on cyber operations, and practical risk governance in both technical and business contexts.
During my FIP internship at Old Dominion University, I collaborated with librarians and information professionals to embed cybersecurity principles into research workflows and digital services. The work focused on secure information handling, metadata integrity, and digital literacy for students and faculty.
This impact project delivers an interactive micro-learning module that teaches data classification, encryption fundamentals, and password hygiene using accessible, open-source tools—designed specifically for researchers and students.
The module uses modular lessons, infographics, and 30-second demos distributed through the library portal. Each segment includes practical checklists to reinforce safe data sharing, storage, and access.
Frameworks: NIST RMF (SP 800-37r2), NIST CSF, NIST SP 800 series, FIPS 199, ISO 31000, FedRAMP, CMMC.
Programming: Python, Bash, SQL
Analytics: SPSS, Atlas.ti, Power BI, Excel
Research: Evidence-Based Management (EBMgt), Systematic Review / SRoL, Rapid Evidence Assessment.
My doctoral research explores how organizations can more effectively evaluate third-party vendors, detect high-risk or fraudulent suppliers, and strengthen cyber-physical supply-chain resilience. By combining established risk frameworks, behavioral indicators, and evidence-based management, I aim to help decision makers design practical, scalable vendor-due-diligence models that move beyond checkbox compliance.
The FIP internship strengthened my ability to translate complex cybersecurity concepts into clear, accessible learning experiences. Collaborating with librarians and students broadened my perspective on information stewardship, secure research practices, and user-centered design. It also reinforced my commitment to building cybersecurity education that empowers non-technical audiences while supporting practical, evidence-based security behaviors.
Download my résumé to explore my full academic background, certifications, research experience, and professional roles.
Use the form or links below to connect regarding cybersecurity education, third-party risk research, supply-chain security initiatives, or evidence-based security strategy.