My research focuses on developing interactions between people, computers, and data. I study how people develop understanding of code and data and develop intelligent but interpretable tools which enable people and computers to cooperate.
My objective is to help people develop ability and efficacy to use computing and data to develop and disseminate their perspectives about their world. I want people to see themselves not as quantified objects, but as qualified and qualifying selves.
Along with being a PhD student, I am also the Director of the Learning Co-op for Seattle Data for Good and was also an instructor for an introductory course on data science to undergraduates (INFO 370).
Prior to attending UW, I spent three years as a student at MIT researching how developing apps with MIT App Inventor relates to learning computational thinking skills.