My background spans HCI, instructional design, and AI-enhanced learning. I have taught graduate and undergraduate courses in Physiology of Sensation, Psychology of Perception, Usability Engineering, Agile Software Development, Mobile Gaming Thesis, Applied Human-Computer Interaction, and Technical Writing. I also mentor students in mixed methods research, user research, usability testing, human factors, and cognitive psychology, emphasizing ethical AI, critical thinking, accessibility, and research-informed design.

I earned a Ph.D. in Modeling and Simulation from the University of Central Florida, where my research applied natural language processing (NLP) and topic modeling to analyze workforce competencies and align education with industry needs. Building on my undergraduate foundation in Human Factors Psychology, I continue to apply data-driven approaches to UX research, learning experience design, AI-assisted design, curriculum strategy, and workforce development.

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Earlier in my career, I conducted human factors, task analysis, and job-demand assessments across safety-critical industries, including nuclear power, oil and gas, and military training. My research and applied work leveraged physiological sensing technologies, including eye tracking, electroencephalography (EEG), electrocardiography (ECG), functional near-infrared spectroscopy (fNIRS), and transcranial Doppler ultrasound (TCD), to objectively evaluate cognitive workload, attention, situational awareness, and human performance. These experiences continue to shape my approach to designing evidence-based products, services, and learning experiences that improve usability, accessibility, performance, and real-world outcomes.

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I am passionate about translating user research, cognitive science, and emerging AI technologies into experiences that connect research, technology, and human needs while preparing the next generation of technology professionals.