The field of bioinformatics is witnessing a dramatic surge in data volumes due to the advent of advanced high-throughput technologies in areas such as ...

Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand ...

“Right now we’re trying to catch disinformation campaigns,” said David Waldrop, CEO and Founder of ICG Solutions based in Potomac, Maryland. Waldrop is talking about his latest project in big data ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

The OmicsSuite native innovation framework architecture and the integration of the Posit Shiny framework. The yellow arrows show logical steps, while the blue arrows indicate datasets inputs and ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

Fig. 1. Strain field of an in-situ test using a novel SMC material. The arising cracks are clearly visible and can be associated with the microstructure characterization, which can be carried out ...

Have you ever wondered how much time you could save if the most tedious parts of data analysis were handled for you? Imagine a world where cleaning messy datasets, visualizing trends, or even ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...