Christopher Ahn is a research assistant and PhD student in the Visualization and MultiMedia Lab at the University of Zurich. His research focuses on scientific visualization and visual analytics for large spatiotemporal datasets, with particular emphasis on uncertainty and sensitivity analysis in ensemble weather forecasting. He designs and studies interactive visualization systems that make complex scientific and public-interest data more accessible, transparent, and interpretable.

Scientific Visualization Systems

• Interactive, high-performance visualization systems for complex scientific and spatiotemporal data.

Uncertainty and Sensitivity Visual Analytics

• Methods to explore variability, parameter influence, and uncertainty in large-scale ensemble simulations.

Applied and Source-Traceable Visual Analytics

• Transparent and interpretable visualizations for scientific and public-interest data, with attention to provenance and responsible communication.

Completed student projects:

— Two-Pass Hierarchical Z-Buffer Occlusion Culling in WebGPU
— Scaling Interactive Web-based Data Analysis and Visualization to Large Data
— Visualization of Variance among Weather Simulation Ensembles

Available student project topics:

— Interactive Sensitivity Analysis of Large-Scale Ensemble Simulations
— Browser-Native Analysis and Visualization of Ensemble Weather Data​​​​​​​
— Benchmarking Web Technologies for Scientific Data Workflows
— Analysis and Visualization of Train Movements from Timetable and Rail Network Data
— Source-Traceable Analysis and Visualization of Swiss Migration Statistics