Daniel Kerrigan
Research
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.
Publications
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
Monomoy is a tool for helping domain experts familiarize themselves with and identify unintuitive behavior in machine learning models.
PDPilot
PDPilot is a tool for guiding users in analyzing machine learning models through PDP and ICE plots.