Research Portfolio
Following are selected research projects that I have contributed to. Each one includes the business and research problem, the methods and why I chose them, the key insights and artifacts they produced, and how the findings translated into design decisions.
Field Study | Wearable + Web PlatformConnected Learning in the Classroom
A smartwatch app and teacher-portal platform that pulls students’ everyday out-of-class experiences into authentic science lessons.
▸ 2-week deployment with 2 classrooms | 4 integration strategies surfacedContextual InquiryField DeploymentWearable UXMixed MethodsView case study →
LLM Product Research | Prompt DesignPedagogy-Grounded AI Tutors
A reusable, evidence-based pipeline for prompting LLM tutors to teach around each learner’s interests, and proving it changes behavior.
▸ ~740 tutor behaviors coded | Uncovered evidence for behavioral fidelityPrompt DesignLLM EvaluationConversational AIQualitative CodingView case study →
At-Scale Field Research | Design-Based ResearchComputational Making, at Scale
A year-long deployment of computation-based Making, plus a 340-hour video analysis of how students understand science, making, and code.
▸ 442 students | 340 hours of classroom video analyzedDesign-Based ResearchVideo AnalysisCurriculum Co-DesignAt-ScaleView case study →
Recommender Systems | Design ProbeEveryday-Inspired Movie Recommenders
Understanding what a recommender needs to turn someone’s everyday social-media posts into movie recommendations that feel personally relevant.
▸ 21 participants | 6 design implications deliveredRecommender DesignSystem-as-ProbeHuman-in-the-LoopDesign ImplicationsView case study →
More research
Beyond these projects, my work spans LLMs and vision-language models for semiconductor-manufacturing education, conversational agents for personalized learning, and augmented-reality systems for everyday STEM. A full list of peer-reviewed work is on the Publications page.