Will Epperson
I am a PhD candidate 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 developing interactive systems that help AI developers and data scientists better understand their data, with the goal of enabling more usable AI systems and trustworthy decision-making. Drawing on techniques from data visualization and human-computer interaction, I builds tools that allow users to more quickly explore their datasets, identify data quality issues, and streamline work with tabular data, text, and multi-agent AI workflows. My work has led to open-source tools adopted by the Python community and scientists, with publications and awards at venues such as VIS, EuroVis, and CHI.
I've previously interned 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
Texture is a general purpose text exploration tool with interactions for using LLMs to derive data from text.
2025
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