Research Interests

• Visual Enhancement of Multidimensional Projections
• Dimensionality Reduction and Subspace Analysis
• Feedback-driven Adaptation of Visualizations
• Quantification of Quality and Patterns in Visualizations
• Visual-Interactive Machine Learning

Online Prototypes

• The Categorical Data Map: A Multidimensional Scaling-Based Approach
• ParSetgnostics: Quality Metrics for Parallel Sets
• VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure
• Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters
• HistoBankVis: Detecting Linguistic Change via Data Visualization

Lectures

Semester	Lecture
SS 2026	Applied Machine Learning
WS 2025/2026	Applied Machine Learning

Teaching Assistance

Semester	Course
SS 2025	Research Seminar Data Mining & Information Visualization (Doctoral Seminar)
WS 2024/2025	Data Mining: Basic Concepts
SS 2024	Programming Course I
WS 2023/2024	Data Mining: Basic Concepts
SS 2023	Programming Course I
WS 2022/2023	Programming Course I
SS 2022	Programming Course I
WS 2021/2022	Programming Course I
SS 2021	Programming Course I
WS 2020/2021	Data Visualization: Advanced Topics
SS 2020	Data Visualization: Basic Concepts
WS 2019/2020	Data Mining: Basic Concepts
SS 2019	Information Visualization II
WS 2018/2019	Analysis and Visualization of Information

Research Projects

Period	Project
2021 - Now	SFB-TRR 161 - Quantitative Methods for Visual Computing ↳ A03 - Quantification of Visual Explainability (formerly named Quantification of Analytics Transformations and Mappings)
2019 - 2021	SPARTA - Strategic programs for advanced research and technology in Europe ↳ CAPE - Continuous assessment in polymorphous environments