Will Epperson

I am a PhD student in the Human Computer Interaction Institute at Carnegie Mellon University. I work in the DIG research group and am advised by Dominik Moritz and Adam Perer.
My research focuses on building tools to make it easier to work with data. I build interactive systems that offer rapid feedback and intelligent assistance to users, helping users quickly profile and make sense of both structured and unstructured datasets. My work spans the full lifecycle of system development including design, development, and evaluation.
I've previously worked at Databricks, Microsoft Research, and Point72 Asset Management.
📢 I am on the 2024-25 job market for applied industry research / start up engineering positions. Reach out if you want to chat!

Recent Research Publications

GuidedStats is a Jupyter extension that helps data scientists perform statistical analyses with guided workflows.
VIS 2024
AutoProfiler is a Jupyter extension that helps data scientists understand their data and find issues during analysis through continuous data profiling.
VIS 2023
Best Paper Honorable Mention
Quick dashboarding presents a novel specification for dashboard authoring, comprised of sections of metrics combined with dimensions.
VDS 2023
Best Paper