I am a Marie Curie Postdoctoral scholar with Dr. Kasper Hornbæk in the Human-Centered Computing group at Department of Computer Science, University of Copenhagen. Until recently, I was working as a Postdoctoral scholar with Dr. Hude Quan and Dr. Catherine Eastwood at the Centre for Health Informatics with a secondary affiliation to Dr. Sheelagh Carpendale‘s former InnoVis group at the Interactions Lab at Department of Computer Science, University of Calgary.
My research focuses on information visualization and human-computer interaction. I am interested in supporting people in understanding and making sense of healthcare data. My dissertation research concerned understanding the benefits of using large, high-resolution displays to support this goal through interaction techniques and data visualization.
- IEEEVIS 2020 Online
- CHI Virtual Speaker Series – The Value of Data Visualization
- Moving to University of Copenhagen!
- Neil presents our Proxemics work
- Presenting at the Department of Medicine QI Summit
- See you in Vancouver for IEEE VIS 2019?
- WHOFIC 2019 in Banff, Alberta
- NASA Glenn here I come:)
- Attending ACM CHI 2019 in Glasgow, UK
- Dagstuhl seminar
- 2018 Gairdner International Symposium
- Quick visit at Aarhus University
- Attending IEEE VIS 2018 in Berlin
- Grant reviewer for Marie Curie September 2018 call
- Talk at Tamara Munzner’s group at UBC in Vancouver, BC
2020 | Marie Curie Postdoctoral scholar
With Dr. Kasper Hornbæk in the Human-Centered Computing group
University of Copenhagen, Denmark
2020 | Marie Curie Postdoctoral scholar
2018-2019 | Marie Curie Postdoctoral scholar
2017 | Postdoctoral scholar
2016 | Postdoctoral scholar
With Mikkel Jakobsen, part of BIOPRO research project. Human Centered Computing at University of Copenhagen, Denmark
2015 | Postdoctoral scholar
With teaching obligations at the Communication and IT study programme. Human Centered Computing at University of Copenhagen, Denmark
2011-2015 | Ph.D. student
Supervised by Kasper Hornbæk WallViz research project. Human Centered Computing at University of Copenhagen, Denmark
2009-2010 | Research Proposal Writer
targeting the 7th EU framework programme for research and development. Danish Innovation Institute — part of the Pera Innovation Network, Kgs. Lyngby, Denmark
Data visualizations are often represented in public discourse as objective proof of facts. However, a visualization is only a single translation of reality, just like any other media, representation devices, or modes of representation.
In this article, we present PixelClipper, a tool built for facilitating data engagement events. PixelClipper supports conversations around visualizations in public settings through annotation and commenting capabilities. It is recognized that understanding data is important for an informed society.
Exploring Design Opportunities for Visually Congruent Proxemics in Information Visualization: A Design Space
We explore design opportunities for varying visual complexity of information visualizations based on distance. Through considering visual congruency and proxemics interaction, we describe a design space that considers potential transitions between visualizations in relation to distance. Our design space is based on exploring prototyping and design possibilities.
We reflect on our experiences as designers of COVID-19 data visualizations working in a distributed synchronous design space during the pandemic. This is especially relevant as the pandemic posed new challenges to distributed collaboration amidst civic lockdown measures and an increased dependency on spatially distributed teamwork across almost all sectors.
The unprecedented COVID-19 pandemic unveiled a strong need for advanced and informative surveillance tools.
Complex data visualization design projects often entail collaboration between people with different visualization-related skills. For example, many teams include both designers who create new visualization designs and developers who implement the resulting visualization software.
PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System
We present a visual analytics tool for collaboratively exploring data from patient administrative systems on large touch displays in meeting contexts. Large touch displays are becoming commercially available, but we have limited knowledge about how they might be used in such a context. We investigated this with our system, PatientAdministrativeDataExplorer (PADE).