Research
What connects my work is a question rather than a method: how do you make something difficult to see legible enough to learn from? That question has led me to radar sensing, virtual reality, and the ways students understand who belongs in computing.
Radar sensing and ML education, 2025 – present
SensDSv2
A desktop application that turns a 60 GHz radar sensor into a machine learning classroom, with live spectrograms, gesture collection, model training, and prediction in one loop a student can run in a single class period.
Radar sensing in the browser, 2026 – present
radar-js
A JavaScript library that brings radar sensing into the browser, so working with a 60 GHz sensor does not start with installing drivers and a local toolchain.
VR for learning and empathy, 2023 – 2025
Collision Course
A virtual reality experience that teaches concussion awareness by putting the user inside the symptoms rather than describing them.
Broadening participation in computing, 2023 – 2025
CodeBears
A K–12 summer computing camp for underrepresented students, run across three consecutive summers, and the research that grew out of trying to understand what helps students see themselves in computing.