Andrew McNutt
Post Doc in HCI / Visualization
I’m an assistant professor of Computer Science at the University of Utah in the Scientific Computing and Imaging Institute (SCI) and Kahlert School of Computing. Most recently I was a Post Doc at University of Washington with the Interactive Data Lab, before that I did my Ph.D. at UChicago CS where I was advised by Ravi Chugh. During my Ph.D. I was lucky to intern at Tableau Research and Microsoft Research, as well as to receive a Siebel Scholarship.
I’m interested in Human Computer Interaction and Visualization, and Programming Interfaces. More specifically, I care about visualization systems (as in grammars/DSLs and linters), the design of interfaces for programming (e.g., notebooks and creative coding type interfaces), visualization theories (such as understanding what it means for a visualization or tool to be “good”), and taking critical perspective therein. Connecting these domains is an interest in “polite” systems, that is tools that support complex assistance while still allowing you to maintain agency.
More broadly, I am a fan of deserts, zines, and bicycles.
News
Publications
- Accessible Text Descriptions for UpSet Plots: Andrew McNutt, Maggie K McCracken, Ishrat Jahan Eliza, Daniel Hajas, Jake Wagoner, Nate Lanza, Jack Wilburn, Sarah Creem-Regehr, Alexander Lex, EuroVIS 2025
- Linting is People! Exploring the Potential of Human Computation as a Sociotechnical Linter of Data Visualizations: Anamaria Crisan, Andrew McNutt, alt.CHI 2025
- Slowness, Politics, and Joy: Values That Guide Technology Choices in Creative Coding Classrooms: Andrew McNutt, Sam Cohen, Ravi Chugh, ACM CHI 2025 🏆 Honorable Mention for Best Paper 🏆
- Mixing Linters with GUIs: A Color Palette Design Probe: Andrew McNutt, Maureen C. Stone, Jeffrey Heer, IEEE VIS 2024
- What Can Interactive Visualization do for Participatory Budgeting in Chicago?: Alex Kale, Danni Liu, Maria Gabriela Ayala, Harper Schwab, Andrew McNutt, IEEE VIS 2024
- Considering Visualization Example Galleries: Junran Yang, Andrew McNutt, Leilani Battle, IEEE VL/HCC 2024
- How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study: Ken Gu, Madeleine Grunde-McLaughlin, Andrew McNutt, Jeffrey Heer, Tim Althoff, ACM CHI 2024
- Only YOU Can Make IEEE VIS Environmentally Sustainable: Elsie Lee-Robbins, Andrew McNutt, alt.vis 2023
- Metrics-Based Evaluation and Comparison of Visualization Notations: Nicolas Kruchten, Andrew McNutt, Michael J. McGuffin, IEEE VIS 2023
- Projectional Editors for JSON-Based DSLs: Andrew McNutt, Ravi Chugh, VL/HCC 2023
- Understanding and Enhancing JSON-based DSL Interfaces for Visualization: Andrew McNutt (advised by Ravi Chugh), Ph.D. Thesis. University of Chicago, Department of Computer Science, 2023
- Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models: Victor Schetinger, Sara Di Bartolomeo, Mennatallah El-Assady, Andrew McNutt, Matthias Miller, João Paulo Apolinário Passos, Jane L. Adams, EuroVis 2023
- On the Design of AI-powered Code Assistants for Notebooks: Andrew McNutt, Chenglong Wang, Rob DeLine, Steven M. Drucker, ACM CHI 2023
- A Study of Editor Features in a Creative Coding Classroom: Andrew McNutt, Anton Outkine, Ravi Chugh, ACM CHI 2023
- No Grammar to Rule Them All: A Survey of JSON-Style DSLs for Visualization: Andrew McNutt, IEEE VIS 2022
- Goethe and Candolle: National forms of scientific writing?: Agatha Seo-Hyun Kim, Andrew McNutt , Theory in Biosciences
- Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data: Jamar L. Sullivan, Will Brackenbury, Andrew McNutt, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael Littman, Chenhao Tan, Blase Ur, NAACL 2022
- Visualization for Villainy: Andrew McNutt, Lilian Huang, Kathryn Koenig, alt.vis 2021
- KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity: Will Brackenbury, Andrew McNutt, Kyle Chard, Aaron Elmore, Blase Ur, ACM UIST 2021
- On The Potential of Zines as a Medium for Visualization: Andrew McNutt, IEEE VIS 2021 (Short Papers)
- What are Table Cartograms Good for Anyway? An Algebraic Analysis: Andrew McNutt, EuroVis 2021 🏆 Honorable Mention for Best Paper 🏆 (Juried Selection, 1 awarded)
- Integrated Visualization Editing via Parameterized Declarative Templates: Andrew McNutt, Ravi Chugh, ACM CHI 2021
- Supporting Expert Close Analysis of Historical Scientific Writings: A Case Study for Near-by Reading: Andrew McNutt, Agatha Seo-Hyun Kim, Sergio Elahi, Kazutaka Takahashi, Visualization for the Digital Humanities (VIS4DH) 2020
- A Minimally Constrained Optimization Algorithm for Table Cartograms: Andrew McNutt, Gordon Kindlmann, VIS 2020 - InfoVIS Poster Track 🏆 Honorable Mention for Best Poster Research 🏆 (Juried Selection, 2 awarded)
- Surfacing Visualization Mirages: Andrew McNutt, Gordon Kindlmann, Michael Correll, ACM CHI 2020 🏆 Honorable Mention for Best Paper 🏆 (Top 5% of papers)
- Divining Insights: Visual Analytics Through Cartomancy: Andrew McNutt, Anamaria Crisan, Michael Correll, alt.CHI 2020
- Design and Analysis of Table Cartograms: Simultaneous Multipurpose Tabular Area-encoding Displays: Andrew McNutt (Advised by Gordon Kindlmann), Masters thesis. University of Chicago
- Textual Analysis & Comparison National Forms of Scientific Texts: Goethe + de Candolle: Agatha Seo-Hyun Kim, Andrew McNutt, Sergio Elahi, Kazutaka Takahashi, Robert J Richards, MindBytes Research Symposium 2019. 🏆 Best Poster in Visualization 🏆
- Improving the Scalability of Interactive Visualization Systems for Exploring Threaded Conversations: Andrew McNutt, Gordon Kindlmann, EuroVis 2019 (Posters)
- Linting for Visualization: Towards a Practical Automated Visualization Guidance System: Andrew McNutt, Gordon Kindlmann, IEEE VIS Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (VisGuides 2018)
- Data Mining and Computational Modeling of High-Throughput Screening Datasets: Sean Ekins, Alex M. Clark, Krishna Dole, Kellan Gregory, Andrew McNutt,
Anna Coulon Spektor, Charlie Weatherall, Nadia K Litterman, Barry A Bunin, Reporter Gene Assays
- The Schrodinger-Newton System with Self-field Coupling: Joel Franklin, Youdan Guo, Andrew McNutt, Allison Morgan, Journal of Classical and Quantum Gravity
- Open source Bayesian models. 1. Application to ADME/Tox and drug discovery datasets: Alex M. Clark, Krishna Dole, Anna Coulon-Spektor, Andrew McNutt,
George Grass, Joel S. Freundlich, Robert C. Reynolds, Sean Ekins, Journal of Chemical Information and Modeling
- Nonequivalent Lagrangian Mechanics: Andrew McNutt (Advised by Nelia Mann), Undergraduate thesis. Reed College