I am a Ph.D. candidate at the University of Washington Information School, advised by Prof. Andrew J. Ko in the Code & Cognition Lab. My research interest is in developing mixed-initiative interactions to enable more equitable intelligent learning technologies.
My vision is to computationally model how people learn programming to develop personalized online learning experiences where the learner is in control. I want people to see themselves not as quantified objects, but as qualified and qualifying selves.
Along with pursuing my PhD, I was also the Director of the Learning Co-op for the non-profit Seattle Data for Good and an instructor for an introductory course on data science to undergraduates (INFO 370). Prior to attending UW, I was a student at MIT advised by Hal Abelson, researching how developing apps with MIT App Inventor relates to learning computational thinking skills.
I am a National Science Foundation (NSF) Graduate Research Fellow and was previously an MIT EECS-Google Research and Innovation Scholar.