Assistant Professor, Department of Computer & Cyber Sciences · United States Air Force Academy
I teach and design courses across the computer science and cyber curriculum, with a focus on programming fundamentals, data structures, algorithms, languages and machines, and senior-level colloquia. My work sits at the intersection of computer science education, cyber operations, and applied machine learning, with an emphasis on preparing future officers to think clearly, build robust systems, and lead in complex technical environments.
Conceptual foundations, real-world relevance, and structured support for future officers and technical leaders.
Introduces core programming constructs and problem-solving skills in Python. Emphasizes clear mental models for variables, control flow, functions, and basic data structures through frequent, low-stakes practice.
A second course in programming focusing on C, pointers, and memory management. As Course Director, I oversee course structure, assessments, and multi-section coordination to ensure consistent learning outcomes.
Covers arrays, lists, stacks, queues, trees, hash tables, and related systems concepts. I focus on helping students understand why specific data structures are chosen and how they affect performance and maintainability.
Studies classic algorithm design paradigms and complexity analysis. Emphasizes reasoning about tradeoffs and connecting algorithms to cyber and operationally relevant scenarios.
Explores models of computation and their role in compilers and language design. Highlights how formal models underpin the tools and languages cadets will encounter in modern software and cyber environments.
Colloquium series designed to broaden cadets’ understanding of computing and cyber careers, ethics, and professional life. See the Colloquium & ACCR section for details.
Connecting cadets with the broader computing and cyber community through speakers, research, and collaboration.
The Computer Science and Cyber Science Colloquium (CS405 / CyS405) brings in guest speakers from across the Department of Defense, industry, government, and academia to broaden cadets’ perspectives on technical careers, leadership, and professional life.
As the faculty lead, I curate speakers and topics that:
As Director of the Academy Center for Cyberspace Research, I coordinate cyberspace-related research across the Academy, connecting cadets and faculty with external partners and opportunities.
ACCR supports work in:
My role includes managing research collaborations and CRADAs, supporting cadet and faculty projects, facilitating summer research placements, and integrating research back into the classroom and colloquium.
Applied machine learning, aerospace and cyber data, and computer science education.
My research interests lie at the intersection of machine learning, aerospace systems, cyber operations, and computer science education. I am particularly interested in how we can use data and AI techniques to support operational decision making, and how we can design learning experiences that produce adaptive, resilient technical leaders.
I mentor cadet research projects that combine programming, data analysis, and cyber or aerospace applications. When possible, I encourage students to present their work at internal symposia or external venues, and to think about how research can inform their future roles as officers.
I am also interested in collaborations related to cyberspace operations, AI/ML in operational contexts, and computing education research.
Curriculum vitae and selected materials for teaching and collaboration.
You can download my current CV and teaching-focused CV below. These include a full list of courses taught, academic and military experience, publications, and professional activities.
For academic collaborations, speaking invitations, or questions about my teaching and research.
The best way to reach me for academic collaborations, speaking opportunities, or questions about my teaching and research is by email. I am especially interested in work related to cyberspace operations and education, applied ML in aerospace or cyber contexts, and computer science education research.