Daniel Kerrigan


I am interested in visualization and HCI, particularly as they relate to the development, evaluation, and use of machine learning models. My research takes a human-centered perspective on how the machine learning process can be improved.


SliceLens: Guided Exploration of Machine Learning Datasets

Daniel Kerrigan, Enrico Bertini
In Proceedings of the Workshop on Human-In-the-Loop Data Analytics (HILDA '23), 2023

A Survey of Domain Knowledge Elicitation in Applied Machine Learning

Daniel Kerrigan, Jessica Hullman, Enrico Bertini
Multimodal Technologies and Interaction, 2021

Nutrition Bytes: Visualizing Food Content

Shuai He, Daniel Kerrigan, Ronald Metoyer
IEEE VIS Poster Extended Abstract, 2017

In progress


Monomoy is a tool for helping domain experts familiarize themselves with and identify unintuitive behavior in machine learning models.


PDPilot is a tool for guiding users in analyzing machine learning models through PDP and ICE plots.