Will Epperson

I am a PhD student in Human Computer Interaction at Carnegie Mellon University. I build interactive tools to help data scientists better understand and make decisions with their data by helping speed up the process of data understanding and cleaning. Data quality issues are often “silent” – models will still train but predictions will be inaccurate or dashboards may unknowingly present inaccurate metrics, making data understanding and debugging a critical part of analysis. My research explores how to best support data debugging through tools that model user interest during analysis, augment their data programming environment with automatic visualization, and support reusing previous analysis workflows. My research appears at venues like IEEE VIS, EuroVis, and CHI. More information can be found at https://willepperson.com.