Andrew McNutt

Andrew McNuttPost Doc in HCI / VisualizationI'm a Post Doc at University of Washington with the [Interactive Data Lab](https://idl.cs.washington.edu/). I am also an incoming assistant professor of Computer Science at the University of Utah in the [School of Computing and Imaging](https://www.sci.utah.edu/) Institute (SCI). I recently graduated from UChicago CS where I was advised by [Ravi Chugh](http://people.cs.uchicago.edu/~rchugh/).
I'm interested in theories of visualization (and finding opportunities for the operationalization of those ideas) and the design of programming interfaces (such for as visual analytics and creative coding). If you are interested in working with me (such as by being a PhD student at the University of Utah) please reach out (mcnutt at uchicago dot edu)! I'm looking for students for students starting the 2024-25 school year.
In the past I worked as a data visualization engineer for a variety of companies in San Francisco. Before that I majored in physics at Reed College in Portland. I am a fan of deserts, zines, buffalo, and bicycles. News

August 2023: Excited that our full paper on [evaluating visualization notations](https://arxiv.org/pdf/2308.16353.pdf) 📊 will be presented at VIS 2023! Also excited that [our reflection](https://arxiv.org/abs/2308.15429) on the 🌲🌲🌲environmental sustainability🌲🌲🌲 of IEEE VIS will be presented at alt.vis 2023!!

June 2023: I got my Ph.D.!! Thanks to my committee, mentors, friends, family, and everyone else who supported me through it.

April 2023: [Our paper](https://osf.io/3jrcm/) on generative AI methods was accepted to EuroVIS23!

March 2023: At long last I have been awarded the College Teaching Certificate from the University of Chicago Center for Teaching.

January 2023: Thrilled to have two (first-author) papers accepted to CHI 2023!! One came from my internship with [MSR last summer](https://arxiv.org/abs/2301.11178), while the other is the culmination of a years long work on [looking at creative coding editors](https://people.cs.uchicago.edu/~rchugh/classes/creative-coding/).

September 2022: Honored to be named to [Siebel Scholars](https://cs.uchicago.edu/news/five-uchicago-cs-students-named-to-siebel-scholars-2023-class/) class of 2023!

July 2022: [Our paper](https://link.springer.com/article/10.1007/s12064-022-00376-8) on the role of nationalism in 🔬science🔬 in 19th century France was (at long last) published Theory in Biosciences!!

July 2022: [My paper](https://arxiv.org/pdf/2207.07998.pdf) exploring the terrain of JSON-style DSLs for visualization was accepted to VIS22.

May 2022: Started a (remote) internship at Microsoft Research with Chenglong Wang and Rob DeLine.

April 2022: Our paper ([Explaining Why](https://www.blaseur.com/papers/rationales-naacl22.pdf)) on interfaces for providing annotator rationales was accepted to NAACL 2022!

March 2022: Quite excited to be serving on the organizing committee for [alt.vis](https://altvis.github.io/) this year!

February 2022: Delighted to now be a PhD Candidate! Tremendous thanks to my committee Ravi Chugh, Blase Ur, and Arvind Satyanarayan.

October 2021: Excited that [our paper](https://arxiv.org/abs/2109.06007) describing the design space of visualization applications for villains was accepted to [alt.vis 21](https://altvis.github.io/).

August 2021: Thanks to [RAMPVIS](https://sites.google.com/view/rampvis/events?authuser=0) for hosting me! I had a great time talking with them about all things algebraic analysis. [Check out the slides](https://drive.google.com/file/d/1o9-7cBnQXfO8VTMS9V7MZ_5odwYVUkYw/view?usp=sharing)

August 2021: My paper ["On The Potential of Zines as Medium for Visualization"](https://www.mcnutt.in/zine-potential) was accepted to the VIS21 short papers track! (The paper includes a zine about the paper)

July 2021: Our paper on [KondoCloud](https://dl.acm.org/doi/10.1145/3472749.3474736), a system that asks users if files in their cloud-based drives spark joy, was accepted to UIST21!

June 2021: My paper on [table cartograms and algebraic visualization](https://www.mcnutt.in/#/research/tacos) won the honorable mention🏆 for best paper at EuroVis!

March 2021: My paper ["What are Table Cartograms Good for Anyway? An Algebraic Analysis"](https://www.mcnutt.in/#/research/tacos) was accepted to EuroVIS 2021! 🌮🌮🌮🌮

January 2021: Our paper 🌱["Integrated Visualization Editing via Parameterized Declarative Templates"](https://www.mcnutt.in/#/research/ivy) was accepted to CHI 2021.

October 2020: ["A Minimally Constrained Optimization Algorithm for Table Cartograms"](https://osf.io/kem6j/) won an honorable mention🏆 in the IEEEVIS InfoVis poster track.

September 2020: Our paper ["Supporting Expert Close Analysis of Historical Scientific Writings: A Case Study for Near-by Reading"](https://arxiv.org/pdf/2009.02384.pdf) on mixing close and distant reading for 19th century scientific writing was accepted to [VIS4DH20](http://www.vis4dh.org/).

March 2020: Our paper ["Surfacing Visualization Mirages"](https://www.mcnutt.in/#/research/mirage) won a best paper honorable mention🏆 at CHI2020!!

February 2020: Our paper on using tarot for visual analytics ["Divining Insights: Visual Analytics Through Cartomancy"](https://www.mcnutt.in/#/research/tarot) was accepted to alt.chi 2020

January 2020: Started teaching my first class as the instructor of record! (["Data Visualization for Public Policy"](https://capp-30239-winter-2020.netlify.app/))

December 2019: Received my Masters of Computer Science!!

November 2019: Our poster on using graph visualizations to compare 19th century scientific writing was shown at both MindBytes (where it won best poster!) and the 2019 Chicago Colloquium on Digital Humanities.

October 2019: Had a great time at IEEEVIS 2019 in Vancouver, BC! Helped contribute to the [Open Access Vis](http://oavis.org/) efforts for the conference.

September 2019: Two of my vis projects (ForumExplorer and Cycles in Rain) were Long-Listed at the Kantar Information is Beautiful Awards.

June 2019: Started an internship with Tableau Research in Seattle

June 2019: 🎉🎉🎉 Successfully defended my masters thesis 🎉🎉🎉

May 2019: Presented our [poster on ForumExplorer](https://www.mcnutt.in/forum-explorer/) at EuroVis 2019 in Porto, Portugal.

May 2019: I was awarded the UChicago Department of Computer Science TA Prize for my work TAing Spring 2018 - Winter 2019.

May 2019: My piece 'On The Road To The Lake: Debugging in Tryptic' won second prize in the print media category of the UChicago Art+Science expo.

October 2018: Presented our paper on linting charts created in matplotlib at VisGuides, a IEEEVIS 2018 workshop.

Publications

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

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, and Michael J. McGuffin, IEEE VIS 2023

Projectional Editors for JSON-Based DSLs: Andrew McNutt, Ravi Chugh, VL/HCC 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

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