I am a sixth year PhD student at the University of Wisconsin-Madison in the Visual Computing Lab in the Department of Computer Sciences advised by Prof. Michael Gleicher. I received a BS in Computer Science and Engineering at the University of Washington in 2009 as part of the NASA Space Grant program and a MS in Computer Sciences at the University of Wisconsin-Madison in 2011 as part of the joint UW-Department of Energy BACTER Institute. My research interests include graphics and visualization, human-computer interaction, color science, data mining, machine learning, and perceptual science.

My current work focuses on how understanding perception in everyday viewing can inform effective visual communication. I develop visualization systems and techniques for comparing large-scale, complex data with a special focus on enhancing the scalability and interpretability of visual displays. I've worked with collaborators across a variety of domains including genomics, bioinformatics, English, biochemistry, and perceptual psychology.

I am also interested in building broader collaborative networks that bridge digital practitioners and domain researchers. I run the Visualization Reading Group and am a co-coordinator and founding member of the Digital Humanities Research Network. Both efforts aim to create a sustained dialog between diverse groups of researchers across the University campus.

Outside of work, I play hockey, volleyball, and golf and enjoy rock climbing, hiking, art history, and spending time with my husband (Dan Szafir) and our three cats. Dan and I are on the job market this year. Feel free to look at my CV, research, and teaching pages for more information.

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News & Updates

12.2014: At Umeå University's Genres of Scholarly Knowledge Production to talk about visualization in the humanities.

11.2014: Received the Mitsubishi Electric Research Lab's Best Student Paper Award at CIC22 for "Adapting Color Difference for Design"(w. Stone and Gleicher).

10.2014: Ran the DHRN "How to Think About Data" workshop.

10.2014: Received Honorable Mention at the McPherson Eye Research Institute Best Student Presentation Competition for my work in lightness constancy for surface visualization.

10.2014: Gave a talk on perception and visualization at the McPherson Eye Institute's MERI at a Glance Symposium.

09.2014: "Navigating Reductionism and Holism in Evaluation" (w. Correll, Alexander, Sarikaya, and Gleicher) accepted to the 2014 BELIV workshop.

09.2014: Inaugural Digital Humanities Research Network workshop meeting.

07.2014: Two papers accepted to the CIC22: "Adapting Color Difference for Design" (w. Stone and Gleicher), and "An Engineering Model for Color Discriminability as a Function of Size" (w. Stone and Setlur).

05.2014: Presented "Ensemble Processing of Color and Shape: Beyond Mean Judgments" (w. Correll, Gleicher, and Franconeri) at VSS 2014.

05.2014: Received A.W. Mellon Workshop grant to start the Digital Humanities Research Network (w. DeRose, Steenson, Alexander, Armstrong, Burkert, Easter, Stommel, and Vareschi).

04.2014: Presented "Task-Driven Evaluation of Aggregation in Time Series Visualization" (w. Correll and Gleicher) at CHI 2014.

02.2014: "Visualizing Validation of Protein Surface Classifiers" (w. Sarikaya, Mitchell and Gleicher) accepted to EuroVis 2014.

10.2013: Won Best SciVis Poster at IEEE VIS for "Lightness Constancy in Surface Visualization" (w. Sarikaya and Gleicher).

10.2013: Alper Sarikaya presented our work on "Understanding Performance of Protein Structural Classifiers" (w. Gleicher) at the IEEE VIS poster session.


Eric Alexander

Michael Correll

Colin Dewey

Steve Franconeri

Michael Gleicher

Chuck Hansen

Ilir Jusufi
Universum U.C.

Julie Mitchell

Jonathan Roberts

Alper Sarikaya

Vidya Setlur
Tableau Research

Maureen Stone
Tableau Research

Rick Walker