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Dr. Karen Coombs
 

Cybersecurity Researcher | Professor | AI Governance and Intelligent Systems Scholar

Researching the security risks of emerging data infrastructures, including DNA data storage and AI-enabled systems.
 

My work bridges cybersecurity research, intelligent system design, and industry practice.

PhD in Information Technology specializing in cybersecurity risks in DNA data storage systems.
 

Professor teaching cybersecurity, systems analysis, governance, and technology strategy across three universities.

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Technology leader advancing software quality, AI governance, and responsible adoption.

Expertise

Cybersecurity

Research focused on vulnerabilities and threat models in emerging data infrastructures, particularly DNA data storage systems.

AI Systems

Applying artificial intelligence to software quality, system governance, and responsible technology adoption.

Teaching

Professor teaching cybersecurity, systems analysis, governance, and technology strategy across multiple universities.

Research

Research exploring cybersecurity risks in emerging data infrastructures, with a focus on DNA data storage systems and intelligent technologies.

Publication

Notable Achievements

Scholarly Works

Academic Research
Perspectives of Cybersecurity Risks in DNA Data Storage Environment


 

Publications

Books
Love Yourself and Keep Going: A Journey Through Resilience, Cybersecurity, and DNA Data Storage




Love Yourself and Keep Going: The Transformation to Greatness

Research Citations

Research from Dr. Karen Coombs' work on cybersecurity risks in DNA data storage has been cited in the following academic publications:
 

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David, J. (2024).
Revolutionizing Biomedical Engineering: AI-Driven Medical Devices in Cloud-Based Healthcare Systems
Available at:

 

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Hashmi, T. H., Tang, G., Liu, X., & Zhang, Z. (2025).
Multi-dimensional identity construction and continuous authentication methods, A survey. Journal of Networking and Network Applications.
Available at:

Speaking

Speaking Engagement

Win10X Women in Technology Leadership Speaker Series
Keynote: The Unscripted Journey to Great Leadership

Curriculum Vitae

PhD

Information Technology
Capella University 

Doctorate in Information Technology focused on cybersecurity, specifically addressing the vulnerabilities of DNA data storage systems

MBA

Management
Nova Southeastern University 

Master of Business Administration with a specialization Management

BS

Computer Information Systems
Florida Gulf Coast University

Bachelor of Science in Computer Information Systems

Teaching

Academic Positions

  • The University of Arizona Global Campus

  • Columbia Southern University

  • College of Southern Nevada

Currently a professor, engaging with students at three universities while leading research initiatives in cybersecurity and AI systems.

Systems Analysis & Design | Information Security & Governance | Critical Infrastructure Protection in Cyber Security | Digital Forensics Applications | Cyber Warfare and Application | Vulnerability Assessment and Incident Response | Management Information Systems | New Product Development and Innovation Strategies | Strategic Technology Planning for Organizations

Research

Ongoing Projects

Current Research Focus

• Cybersecurity vulnerabilities in DNA data storage systems
• Bio cybersecurity and emerging data infrastructures
• Security implications of AI driven systems
• Intelligent system governance

Forthcoming Textbook

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Modern Systems Analysis and Design: Building Intelligent and Ethical Systems

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Kendall Hunt Publishing | Fall 2026

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Modern Systems Analysis and Design: Building Intelligent and Ethical Systems is a comprehensive textbook for students and practitioners navigating the evolving intersection of systems analysis, artificial intelligence, and ethical technology design. Drawing on more than two decades of industry practice and current research in AI governance, the book integrates traditional systems analysis methodologies with the emerging realities of AI-enabled systems, responsible system design, and governance frameworks such as NIST AI RMF, OECD AI Principles, ISO/IEC 42001, and the EU AI Act. The text is designed for use in undergraduate and graduate information systems, software engineering, and AI ethics courses, and is suitable for professionals seeking a structured introduction to building systems that are both technically sound and ethically defensible.

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The manuscript has cleared editorial review and is currently in production. Release scheduled for Fall 2026.

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