Hi, I’m Dominik Moritz
I’m a professor at the Human-Computer Interaction Institute at Carnegie Mellon University and an ML researcher at Apple . I design and build interactive systems for visualization and analysis. At CMU, I co-lead the Data Interaction Group.
I received my PhD from the Paul G. Allen School at the University of Washington, where I worked with Jeff Heer and Bill Howe in the Interactive Data Lab and the Database Group.
My systems have won awards at premier academic venues and are used by the Python and JavaScript data science communities.
Find me on GitHub, the Fediverse, Bluesky, LinkedIn, or Twitter.
- [email protected]
- NSH 2504B
During my first year at UW, I received support from the Fulbright program. In 2013, I received my B.S. from Hasso Plattner Institute. I am a scholar of the German National Academic Foundation. I have worked with the Open Knowledge Foundation, Google Research, Microsoft Research, and others. Details are in my CV.
Featured Projects
I created Draco, a formal model of visualization design with shareable design guidelines, formal reasoning over the design space, and visualization recommendation.
Featured Publications
Best Paper Honorable Mention . VIS, 2023. Data Navigator: An accessibility-centered data navigation toolkit . VIS, 2023. Dead or Alive: Continuous Data Profiling for Interactive Data Science
Best Paper Honorable Mention . VIS, 2023. How accessible is my visualization? Evaluating visualization accessibility with Chartability . EuroVis, 2022. Interactive Systems for Scalable Visualization and Analysis . 2019. Falcon: Balancing Interactive Latency and Resolution Sensitivity for Scalable Linked Visualizations . CHI, 2019. Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco
Best Paper Award . InfoVis, 2018. Voyager 2: Augmenting Visual Analysis with Partial View Specifications . CHI, 2017. Vega-Lite: A Grammar of Interactive Graphics
Best Paper Award . InfoVis, 2017. Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data . CHI, 2017. Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations
Invited to SIGGRAPH 2016 . InfoVis, 2015. Dynamic Client-Server Optimization for Scalable Interactive Visualization on the Web . DSIA at VIS, 2015.