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Assistant Professor, Khoury College of Computer Sciences, Northeastern University

Bio

I am an Assistant Professor in the Visualization @ Khoury group, part of the Khoury College of Computer Sciences at Northeastern University. Prior to joining Northeastern University, I was a research scientist in IBM Watson Health, IBM Watson and IBM Research. I received my PhD and MS degrees in computer science under Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab in 2013 and 2009, respectively, and earned a bachelor's degree in computer science and mathematics from Cornell College in 2007.

My work crosses components of data visualization, human-computer interaction, network science, and computer science. I focus on helping people explore and understand complex data—in particular, data that combines aspects of network topology, position in space, values of attributes, changes to all of these over time, and how changes or events can happen in sequence. Much of my research is motivated by the real-world problems users face. Some of the areas I have worked on include healthcare diagnostic and treatment decision support; understanding and preventing cybersecurity incidents; building computer network resilience; interpreting results from natural language processing, database, and computer engineering research; exploring how scientists collaborate; mapping the spread of infectious diseases; and understanding relationships within archaeological dig sites.


Areas of investigation: Data Visualization + ...

  • Graph and network data
  • Multidimensional data
  • Geospatial data
  • Temporal event sequences
  • Evaluation methodologies
  • Layout algorithms
  • Exploratory data analysis
  • User interface design
  • Interaction design
  • Perception and cognition
  • Analytic provenance
  • Virtual and extended reality (VR & XR)

Specific domains of interest:

  • Healthcare diagnostic and treatment decision support, including diabetes & neurology
  • Cybersecurity, including unmanned autonomous system analysis and improving network resilience
  • Computer Science and Engineering, including work in databases, programming languages, natural language processing, systems, and hardware simulation
  • Digital humanities, including networks of concepts in humanities texts as well as text and timeline visualizations
  • Epidemiology, including the spread of infectious disease

Recent News

2023-03-30Congratulations to Sara Di Bartolomeo for passing her dissertation defense! Sara is my first graduating PhD student!
2022-04-15Welcome my new PhD students Eduardo Puerta and Connor Wilson!
2022-04-0838 authors from Northeastern were represented at CHI 2022 and there were 11 contributions from Khoury! Our group contributed two different papers (this one is mine), a late-breaking work, and a case study.
2022-04-06My PhD student Sara Di Bartolomeo was recognized by the university as a Huntington 100 scholar for her outstanding academic achievements!
2022-03-25Three papers from our group will appear in EuroVis 2022, including one of mine. We also have a keynote by Melanie Tory!
2022-03-30I received an NSF CAREER award on General And Optimal Layered Network Visualization!


Recent Publications

Thumbnail image for publication titled: Ask and you shall receive (a graph drawing): Testing ChatGPT's potential to apply graph layout algorithms
Ask and you shall receive (a graph drawing): Testing ChatGPT's potential to apply graph layout algorithms

Sara Di Bartolomeo, Giorgio Severi, Victor Schetinger, and Cody Dunne. Proc. EuroVis Conference on Visualization—EuroVis. 2023

PDF | Preprint | Supplement | BibTeX

Thumbnail image for publication titled: Six methods for transforming layered hypergraphs to apply layered graph layout algorithms
Six methods for transforming layered hypergraphs to apply layered graph layout algorithms

Sara Di Bartolomeo, Alexis Pister, Paolo Buono, Catherine Plaisant, Cody Dunne, and Jean-Daniel Fekete. Computer Graphics Forum—EuroVis/CGF. 2022

PDF | DOI | Supplement | BibTeX

Thumbnail image for publication titled: DyStopia: Into a potential future of IEEE VIS under Plan S
DyStopia: Into a potential future of IEEE VIS under Plan S

Lonni Besançon and Cody Dunne. Proc. alt.VIS workshop at IEEE VIS—alt.VIS. 2022

PDF | Preprint | DOI | Supplement | Teaser Observable | Award | BibTeX | alt.VIS Most Dystopian award!

Thumbnail image for publication titled: The worst graph layout algorithm ever
The worst graph layout algorithm ever

Sara Di Bartolomeo, Matěj Lang, and Cody Dunne. Proc. alt.VIS workshop at IEEE VIS—alt.VIS. 2022

PDF | Preprint | DOI | Supplement | Award | BibTeX | alt.VIS The Worst (Algorithm) award!


Cody Dunne, Data Visualization @ Khoury — Northeastern University
West Village H, Room 302F
440 Huntington Ave, Boston, MA 02115, USA