Projects
The krueger lab will have its focus areas on scalable visualization and visual analytics of spatial data (as it appears in biomedical and geographical application fields), on developing novel information visualizations, and on bringing visualization and analysis methods and workflows to novel AR & VR environments. We aim to work on these topicsby aquiring research funds from NSF, NIH, and other sources.
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Our work in the biomedical field enables human-in-the-loop data analysis of increasingly large and complex molecular data (imaging and spatial omics) acquired for biomedical research, notable to for cancer analysis, diagnosis, and therapy. We work closely with biomedical users to survey their goals and requirements, iteratively develop visualization prototypes, and conduct hands-on studies for qualitative and quantitative evaluation.
Our geographical visulization research focuses on large and time-varying urban data to better understand urban environments and human factors. We develop and evaluate large-scale visualization and analytics approaches that combine classical geographical data (e.g. maps, satellite imagery) with spatially referenced data, e.g. from social media.
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We design and evaluate novel visual encodings and interaction mechanismns for challenging data types, tasks, and workflows, tailored to domain-specific needs.
Steerable and interpretable machine learning enabled by highly interactive interfaces allow to configure, train, adjust, and evaluate complex models.
We develop scalable 2D and 3D visualization framework for increasingly large terrabyte sized multiplex imaging data.