Andrew McNutt

Andrew McNuttPhD Student in Visualization I am a PhD student in Computer Science at the University of Chicago. My work falls in the intersection of the Data Visualization and HCI fields. I'm especially interested in theories of visualization (opportunities for the operationalization of those ideas), as well as the design of user interfaces for knowledge-based tasks (such as visual analytics or creative coding) and ways to leverage ideas from programming languages and software engineering in those designs. News

January 2021: Our paper ["Integrated Visualization Editing via Parameterized Declarative Templates"](http://localhost:5000/#/research/ivy) was accepted to CHI 2021.

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

Sept 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"](http://localhost:5000/#/research/mirage) won a 🏆best paper honorable mention🏆 at CHI2020!!

Feburary 2020: Our paper on using tarot for visual analytics "Divining Insights: Visual Analytics Through Cartomancy" was accepted to alt.chi 2020

January 2020: Started teaching my first class as the instructor of record! ("Data Visualization for Public Policy")

December 2019: Received my Masters of Computer Science!!

November 2019: Our poster on using graph visualizations to compare 19th century scentific 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.

Sept 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

Integrated Visualization Editing via Parameterized Declarative Templates: Andrew McNutt, Ravi Chugh, Proceedings of the 2021 ACM annual conference on Human Factors in Computing Systems

Supporting Expert Close Analysis of Historical Scientific Writings: A Case Study for Near-by Reading: Andrew McNutt, Agatha Kim, Sergio Elahi, Kazutaka Takahashi, 2020 IEEE 5th Workshop on Visualization for the Digital Humanities (VIS4DH)

A Minimally Constrained Optimization Algorithm for Table Cartograms: Andrew McNutt, Gordon Kindlmann, VIS 2020 - InfoVIS Poster Track - 🏆 Honorable Mention for Best Poster Research 🏆

Surfacing Visualization Mirages: Andrew McNutt, Gordon Kindlmann, Michael Correll, Proceedings of the 2020 ACM annual conference on Human Factors in Computing Systems - 🏆 Honorable Mention for Best Paper 🏆

Divining Insights: Visual Analytics Through Cartomancy: Andrew McNutt, Anamaria Crisan, Michael Correll, Proceedings of alt.CHI

Textual Analysis & Comparison National Forms of Scientific Texts: Goethe + de Candolle: Agatha Kim, Andrew McNutt, Sergio Elahi, Kazutaka Takahashi, Robert J Richards, MindBytes Research Symposium. 🏆 Best Poster in Visualization 🏆

Improving the Scalability of Interactive Visualization Systems for Exploring Threaded Conversations: Andrew McNutt, Gordon Kindlmann, Proceedings of the Eurographics Conference on Visualization "EuroVis" - Posters

Linting for Visualization: Towards a Practical Automated Visualization Guidance System: Andrew McNutt, Gordon Kindlmann, 2nd IEEE VIS Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization ("VisGuides")

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, and 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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