Lena Cibulski

Lena Cibulski is a Postdoctoral Researcher at the Institute for Visual and Analytic Computing, University of Rostock, Germany. Her work focuses on the design of visualization tools that empower experts to make data-informed decisions, particularly in engineering and life-science contexts where human expertise must be synthesized with large, complex data.

Education

• PhD in Visualization, 2024 – Technical University of Darmstadt, Germany
• MSc in Computer Science, 2017 – Otto-von-Guericke University Magdeburg, Germany
• BSc in Visual Computing, 2016 – Otto-von-Guericke University Magdeburg, Germany

Research Interests

Lena’s research blends computer science, design, and decision theory. She investigates how interactive visualizations can amplify experiential knowledge, support preference construction, and facilitate multi-attribute choices under conflicting objectives. Key themes include:

• Multivariate and temporal data visualization
• Human factors and cognition in visual analytics
• Real-world, application-driven design studies in engineering and life sciences
• Parameter-space exploration, feature engineering, and causal analysis

Publication Trends

Across 2020-2025 her articles cluster around three thrusts: (1) foundational work on Pareto-based decision interfaces (PAVED, COMPO*SED), (2) empirical studies of visualization adoption and usability in manufacturing and engineering, and (3) methodological contributions toward understanding decision problems as a primary goal of visualization design. Recent papers extend these ideas to cell-signaling simulations and sustainable-development education.

Scientific Awards

• 2024 – Best Dissertation in Computer Science, TU Darmstadt
• 2025 – Honorable Mention, VRVis Visual Computing Award

Teaching, Outreach & Collaboration

Lena currently teaches master-level courses on visualization, visual analytics, and interactive data analysis at the University of Rostock. She is open to multidisciplinary collaborations involving human factors, methodological aspects of visualization research, and real-world applications. Interested students or partners are encouraged to contact her directly.