Kiemute Oyibo is a postdoctoral fellow at the Human-Computer Interaction Institute, Carnegie Mellon University. His primary research areas of interest include Personal Informatics, Data Visualization, Persuasive Technology, User Modeling, Personalization, User Experience and Mobile Web Design. He is currently working on the ClassInsight project in the education domain, where he investigates better ways of leveraging instrumented classrooms and teacher data visualization to improve teachers' teaching practices. He has authored over 50 academic papers, with his work on culture-tailored fitness application aimed at promoting home-based bodyweight exercise winning the gold award at the Human-Computer Interaction International 2019 Student Design Competition.