I work with faculty on course design for graduate online programs at the University of Pittsburgh, including content development, assessments, and learning structure. I have 10+ years of experience in instructional design, and my approach draws on applied learning sciences, usability, and learning engineering, because good online learning is a design problem, not just a content problem.

What I enjoy most is helping faculty and experts understand accessibility, educational technology, and what actually makes learning stick. To me, it's about being an advocate for quality online learning experiences.

I enjoy exploring new tools and approaches and putting them to work. I'm interested in how AI can transform instructional design workflows through collaboration and automation. This motivated me to create a course parser that prompts an open source LLM to evaluate online courses against established standards, giving instructional designers and faculty actionable feedback to improve their courses.

I hold an MS in Human-Computer Interaction, which shapes how I think about instructional design, not just applying existing tools, but understanding and improving them.