I'm a data visualization specialist and consultant at Virtual Identity. My interests are in human-data interaction, and in combining techniques and methods from visualization, machine learning, and human-centered design.
I am a senior data science consultant at Virtual Identity in Vienna working on visualizations and all things data related.
I followed my love for information visualization through a Computer Science PhD at the University of British Columbia, where I worked with Tamara Munzner and the InfoVis Group. Prior to UBC, I completed a Master program in Business Informatics at the University of Vienna, working with the Visualization and Data Analysis Group.
I gained further experience as a visiting research fellow in the Visual Computing Group at Harvard University, and as a research intern at Tableau Software in Palo Alto.
I helped in designing and restructuring large undergrad courses at several universities and I have multiple years of experience as a teaching assistant for human-computer interaction and visualization courses.
As a web developer and consultant, I have worked on projects for multiple clients across industries.
I'm also a passionate traveller and enjoy skiing, hiking, camping, and going on roadtrips.
Visualization & Data ScienceI create interactive visualizations to help people explore, analyze, and communicate complex data. Thereby, I follow a user-centered prototyping process and use the latest principles from visualization research to develop effective solutions. I leverage machine learning models to either assist users in interacting with data and decision making, or to fully automate processes for well-defined tasks.
Mixed-Methods ResearchI led multiple research projects, collaborated with interdisciplinary teams, and published in top visualization and human-computer interaction venues (CHI, VIS/TVCG, EuroVis/CGF). I'm passionate about applied research projects that drive product innovation in industry, and I'm flexible about choosing from a repertoire of methods, including rapid prototyping, interviews, crowdsourced studies, questionnaires, computational testing, and visual data inspection.
UX & Interface DesignI deeply care about the usability of any tools I develop, to help users perform their desired tasks efficiently and effectively. I believe the aesthetics of digital products is all too often neglected but is essential to create engaging and memorable experiences. I strive to get an in-depth understanding of the target user groups to optimize both of these design directions.
Teaching & TrainingI held guest lectures, coding tutorials, and spoke about D3.js. As a teaching assistant, I tutored students in human-computer interaction and visualization courses for multiple years. I developed the curriculum for large-scale undergraduate courses and increased student engagement by integrating new active learning principles.
Or explore projects by tags:
IEEE Trans. on Visualization and Computer Graphics (TVCG), 28(1): 747-757, 2022
IEEE Visualization Conference (VIS), 2021
IEEE Trans. on Visualization and Computer Graphics (TVCG), 27(2): 495-505, 2021
Proc. of the IEEE VIS Workshop Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), pp. 74-80, 2020
Computer Graphics Forum (Proc. EuroVis), 39(3): 127-138, 2020
Journalism, 21(7):950-973, 2020
Proc. Conf. Human Factors in Computing Systems (CHI), 2020
Proc. Conf. Human Factors in Computing Systems (CHI), 2019
International Journal of Transportation (IJT), 6(1): 1-14, 2018
Proc. IEEE VIS Workshop on Pedagogy of Data Visualization, 2016
Awards & Honours
I'm fluent in German and English.