April Wang is a Ph.D. student at the School of Information at the University of Michigan advised by Prof. Steve Oney and Prof. Christopher Brooks. Her research draws upon human-centered design techniques to explore barriers in different aspects of collaboration practices in data science, and opportunities in redesigning the state-of-art tools to support collaborative data science. She has received two Best Paper Award and Nomination at premier venues in Human-Computer Interaction.
Tuesday Oct. 13, 2020, 5 p.m.–Oct. 13, 2020, 5:30 p.m. in Data Science Applications