Michelle Borkin

Information and scientific visualization
Human–computer interaction
Medical imaging and radiology
Astrophysics
Visualization, cognition, and perception

PhD in Applied Physics, Harvard University
MS in Applied Physics, Harvard University
BA in Astronomy, Astrophysics, and Physics, Harvard University

Michelle Borkin is an assistant professor at the Khoury College of Computer Sciences at Northeastern University, based in Boston.

Borkin develops novel visualization techniques and tools to enable new insights and discoveries in data. She works across disciplines to bring together computer scientists, doctors, and astronomers to collaborate on new analysis and visualization techniques. Her research resulted in the development of novel computer assisted diagnostics in cardiology, scalable visualization solutions for large network data sets, and novel astrophysical visualization tools and discoveries.

Prior to joining Northeastern, Borkin was a postdoctoral research fellow in computer science at the University of British Columbia, an associate in computer science at Harvard University, and a research fellow at Brigham and Women’s Hospital. She was previously a National Science Foundation graduate research fellow, a National Defense Science and Engineering graduate fellow, and a TED fellow.

Published: October 27th, 2024
Design considerations for photosensitivity warnings in visual media

Citation: Laura South, Caglar Yildirim, Amy Pavel, Michelle A. Borkin. (2024). Design considerations for photosensitivity warnings in visual media ASSETS, 68:1-68:12. https://doi.org/10.1145/3663548.3675643
Published: May 11th, 2024
Barriers to Photosensitive Accessibility in Virtual Reality

Citation: Laura South, Caglar Yildirim, Amy Pavel, Michelle A. Borkin. (2024). Barriers to Photosensitive Accessibility in Virtual Reality CHI, 58:1-58:13. https://doi.org/10.1145/3613904.3642635
Published: December 20th, 2023
Augmented Reality as a Visualization Technique for Scholarly Publications in Astronomy: An Empirical Evaluation

Citation: Jane L. Adams, Laura South, Arzu Çöltekin, Alyssa A. Goodman, Michelle A. Borkin. (2023). Augmented Reality as a Visualization Technique for Scholarly Publications in Astronomy: An Empirical Evaluation IEEE VIS (Short Papers), 36-40. https://doi.org/10.1109/VIS54172.2023.00016
Published: April 19th, 2023
Exploratory Thematic Analysis of Crowdsourced Photosensitivity Warnings

Citation: Laura South, Caglar Yildirim, Amy Pavel, Michelle A. Borkin. (2023). Exploratory Thematic Analysis of Crowdsourced Photosensitivity Warnings CHI Extended Abstracts, 111:1-111:7. https://doi.org/10.1145/3544549.3585649
Published: January 1st, 2023
GenoREC: A Recommendation System for Interactive Genomics Data Visualization

Citation: Aditeya Pandey, Sehi L'Yi, Qianwen Wang, Michelle A. Borkin, Nils Gehlenborg. (2023). GenoREC: A Recommendation System for Interactive Genomics Data Visualization IEEE Trans. Vis. Comput. Graph., 29, 570-580. https://doi.org/10.1109/TVCG.2022.3209407
Published: January 1st, 2023
Photosensitive Accessibility for Interactive Data Visualizations

Citation: Laura South, Michelle A. Borkin. (2023). Photosensitive Accessibility for Interactive Data Visualizations IEEE Trans. Vis. Comput. Graph., 29, 374-384. https://doi.org/10.1109/TVCG.2022.3209359
Published: March 5th, 2021
A State-of-the-Art Survey of Tasks for Tree Design and Evaluation With a Curated Task Dataset

Citation: Aditeya Pandey, Uzma Haque Syeda, Chaitya Shah, John A. Guerra-Gomez, Michelle A. Borkin. (2022). A State-of-the-Art Survey of Tasks for Tree Design and Evaluation With a Curated Task Dataset IEEE Trans. Vis. Comput. Graph., 28, 3563-3584. https://doi.org/10.1109/TVCG.2021.3064037
Published: November 18th, 2020
Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering

Citation: Schwab, M., Saffo, D., Dunne, C., Tompkin, J., & Borkin, M. (2020, November 18). Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering. https://doi.org/10.31219/osf.io/ypxz2
Published: July 8th, 2020
Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation

Citation: Saffo, David, et al. "Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation." Computer Graphics Forum. Vol. 39. No. 3. 2020.
Published: May 9th, 2019
Evaluating Pan and Zoom Timelines and Sliders

Citation: Michail Schwab, Sicheng Hao, Olga Vitek, James Tompkin, Jeff Huang, and Michelle A. Borkin. 2019. Evaluating Pan and Zoom Timelines and Sliders. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 556, 12 pages. DOI: https://doi.org/10.1145/3290605.3300786