My main research focus is on data science at scale for urban applications. My core expertise is data workflows, data fusion, analysis, geometry, and visualization, with additional experience in simulation, and machine learning on different platforms from web applications to high-performance computers. I have a passion for applied science, and have worked with a variety of applications ranging from plasma physics and medicine to climate science and transportation. As a research scientist in the Computational Urban Sciences group, I work primarily with large geographic and urban data. You can learn more about my current work in the projects section.
Before my time at ORNL, I was a postdoc in the Data Science at Scale group at Los Alamos National Laboratory where I worked on analyzing the connection between use of computational resources and cognitive value of the outcome by compressing image databases and evaluating the usability. I furthermore worked as a developer for MPAS-Ocean, the ocean component of the Energy Exascale Earth System Model (E3SM) project. During that time I extended multiple analysis members to enable the use of regional masks.
I completed my BSc (2009), MSc (2011), and PhD (2015) at the University of Kaiserslautern in Kaiserslautern, Germany. During my studies, I specialized in visualization, image processing, and computer vision. My minors were mathematics (BSc) and biology (MSc).