I am a human-centered framework scholar working at the intersection of human factors, educational psychology, instructional design, and AI ethics. My core through-line: I build protective design systems for people inside institutions not designed with their full humanity in mind.
I do not just describe problems — I build frameworks, tools, and deployed artifacts that solve them. Over three years of independent work, I have developed a seven-layer framework ecosystem for ethical AI integration in higher education — classroom-tested, grounded in validated theory, and original in combination.
Building human-centered frameworks for ethical AI integration, promoting critical thinking, and providing tools that support both educators and students in navigating AI responsibly and effectively. Includes the seven-layer framework ecosystem, deployed AI agents, and a growing publication record spanning peer-reviewed journals, conference proceedings, and institutional resources.
Using machine learning and computer vision to classify hand movements in repetitive motion tasks to capture how fatigue develops. Interdisciplinary PhD research conducted at Western Michigan University — methodologically sophisticated, multi-layered, and grounded in human factors principles.
Designing learning environments that recognize the full humanity of students and educators. Grounded in care ethics, grief scholarship, and personal testimony. Includes published work on trauma-informed and student-centered pedagogy, bereavement policy recommendations for women in academia, and the Trauma-Informed & Care Pedagogy Assistant GPT.
Courses include Project Management in Technological Settings (TECH 4400), Supervisory Practices in Technological Settings (TECH 4000), Seminar in Management and Technology (TECH 4500), Information Policy Analysis (TECH 4220), Technological Forecasting (TECH 4210), Core Tools of Quality Systems (QS 3850), Senior Capstone in Quality Systems (QS 4750), Leadership for Lean Manufacturing and Service Operations (QS 4650), and Quality Culture Assessment (QS 6160).
Teaching philosophy: student-centered, trauma-informed, AI-integrated with ethical boundaries. Models the behavior expected from students — citing AI use in course materials and designing assessment that is purposeful rather than surveillant.