Scientific Visualization Systems

• Designing interactive, high-performance visualization frameworks for complex scientific data.

Uncertainty Analysis and Visualization of Spatiotemporal Ensembles

• Developing methods to explore variability and uncertainty in large-scale, space- and time-dependent ensemble simulations.

Uncertainty Quantification in Numerical Weather Prediction

• Investigating techniques to measure, interpret and communicate uncertainty in modern weather and climate models.

Ongoing student projects:

— Two-Pass Hierarchical Z-Buffer Occlusion Culling in WebGPU
— Scaling Interactive Web-based Data Analysis and Visualization to Large Data

Completed student projects:
— Visualization of Variance among Weather Simulation Ensembles

Currently open student projects:
— Ensemble Analysis and Visualization with WebGPU