Matthew Conlen is a Ph.D. student interested in how computers can help people communicate complex information more effectively.
Interactive Data Lab
Ph.D. Student

I am currently pursuing a Ph.D. in computer science at the University of Washington, advised by Jeffrey Heer in the Interactive Data Lab. My work lies at the intersection of human computer interaction (HCI), and data visualization. Currently my primary focus is on exploring tools for creating and publish interactive documents for expository writing.

Selected papers and presentations
  • Capture and Analysis of Active Reading Behaviors for Interactive Articles on the Web: Matthew Conlen, Alex Kale, Jeffrey Heer. Computer Graphics Forum (Proc. EuroVis) 2019. PDF
  • The Beginner's Guide to Dimensionality Reduction: Matthew Conlen, Fred Hohman. IEEE Vis Workshop on Visualization for AI Explainability 2018. Interactive Article
  • Idyll: A Markup Language for Authoring and Publishing Interactive Articles on the Web: Matthew Conlen, Jeffrey Heer. UIST 2018. PDF
  • Towards Design Principles for Visual Analytics in Operations Contexts: Matthew Conlen, Sara Stalla, Chelly Jin, Maggie Hendrie, Hillary Mushkin, Santiago Lombeyda, and Scott Davidoff. CHI 2018. PDF
  • Idyll: A domain specific language for the rapid development of interactive news articles: Matthew Conlen and Jeffrey Heer. Computation+Journalism Symposium. 2017.
  • A Winning Strategy for Tic-Tac-Toe on an Affine Plane of Order 4: Matthew Conlen and Juraj Milcak. Joint Mathematics Meeting. 2011.
  • A Winning Strategy for Tic-Tac-Toe on an Affine Plane of Order 4: Matthew Conlen and Juraj Milcak. Young Mathematicians Conference. 2010.