Jürgen Bernard

Jürgen Bernard is an Assistant Professor of Computer Science at the University of Zurich, leading the Interactive Visual Data Analysis (IVDA) Group. He is associated with the Digital Society Initiative (DSI) and holds a PhD in Computer Science from Technische Universität Darmstadt (2015) with a focus on time-oriented data analysis. His academic journey includes postdoctoral research at TU Darmstadt and the University of British Columbia.

• Education:
  • Diploma in Computer Science (2009, TU Darmstadt)
  • PhD in Computer Science (2015, TU Darmstadt)

Research Interests:
Dr. Bernard specializes in interactive visual data analysis, explainable machine learning, and human-centered AI. His work explores time series analysis, multivariate data exploration, and user-driven preference elicitation. He develops visual analytics systems for domains like healthcare, digital humanities, and industrial applications, with a particular focus on responsible AI and transparency in algorithmic systems.

Research Trends:
His publications emphasize interactive machine learning workflows, visual analytics for healthcare, and time-stamped event sequence analysis. Recent work includes LLM validation frameworks (Human-Data-Model Interaction Canvas) and personalized ranking systems funded by the Swiss National Science Foundation. He integrates temporal data with multivariate analysis across applications from medical manufacturing to chronic disease management.

Scientific Recognition:

• EuroGraphics Young Researcher Award (2022)
• EuroVis Young Researcher Award (2021)
• Best Paper Awards at IEEE VIS (2021), EuroVA (2021, 2025)
• Dirk Bartz Prize (2017), Hugo-Geiger Preis (2016)

Teaching & Grants:
He teaches Interactive Visual Data Analysis (6 ECTS), Digital Health Seminars, and People-Oriented Computing. Currently leads a SNF Grant on Personalized Visual Analytics for multi-criteria decision support (2024-2028) with ETH Zurich's Prof. M. El-Assady.