Jack Wilburn

Jack is a data visualization software developer with the Scientific Computing and Imaging Institute at the University of Utah. Through his work, Jack leads development efforts on over $3,000,000 of grant funded research into a broad range of topics, including multivariate network visualizations, neuromodulation therapy databases, and patient blood management analysis tools. Another critical part of Jack’s work is mentoring PhD students in the Visualization Design Lab and helping the lab make quality, maintainable software. He obtained a Bachelor of Science Degree in Mathematics from Westminster College in Salt Lake City and is currently pursuing a Master’s degree in Computer Science from the University of Utah.

In his prior work, Jack developed machine learning models for national banks and created custom lifetime value solutions for many US companies. Ultimately, Jack has developed and implemented tools that cover the whole data science stack, and he’s comfortable explaining the complex technical topics to stakeholders from any background.

Jack’s hobbies include:

Website Link

Jack Wilburn
Jack Wilburn,
Software Developer

SCI Institute,
School of Computing,
University of Utah
72 South Central Campus Drive,
Salt Lake City, Utah 84112

Room: WEB 3823



Peer-reviewed Journal and Conference Publications

reVISit screenshot

Yiren Ding, Jack Wilburn, Hilson Shrestha, Akim Ndlovu, Kiran Gadhave, Carolina Nobre, Alexander Lex, Lane Harrison
reVISit: Supporting Scalable Evaluation of Interactive Visualizations
IEEE Visualization and Visual Analytics (VIS), 2023

Chartjunk screenshot

Derya Akbaba, Jack Wilburn, Main T. Nance, Miriah Meyer
Manifesto for Putting 'Chartjunk' in the Trash 2021!
alt.VIS, a workshop co-located with IEEE VIS, 2021

Sanguine screenshot

Haihan Lin, Ryan A. Metcalf, Jack Wilburn, Alexander Lex
Sanguine: Visual Analysis for Patient Blood Management
Workshop on Visual Analytics in Healthcare at AMIA (VAHC), 2020

Selected Posters

Funded Research Projects

The National Science Foundation logo

reVISit: Scalable Empirical Evaluation of Interactive Visualizations
PI: Alexander Lex
Sponsor: The National Science Foundation
Co-PI(s): Lane Harrison
Duration: 07/01/2022-06/30/2025

The National Science Foundation logo

Collaborative Research: Framework: Software: HDR: Reproducible Visual Analysis of Multivariate Networks with MultiNet
PI: Alexander Lex
Sponsor: The National Science Foundation
Co-PI(s): Miriah Meyer, Jeff Baumes, Curtis Lisle, Luke Harmon
Duration: 01/01/2019-12/31/2022