Collaborated with an academic researcher to design and optimize a robust, scaffolded programming practice interface grounded in computer science education research, now being piloted at Carnegie Mellon University.

Prototyped and built intuitive authoring tools for e-books, surveys, quizzes, and practice problems.

Critically analyzed academic research and usability feedback to design help features that get learners unstuck quickly and easily during a practice problem while still maximizing educational outcomes.

Received $10,000 as the winners of the 2022 University of Michigan Learning Levers Competition.