Anne S Berres
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).
I'm responsible for leading the data science efforts for the Regional Mobility Project, which provides real-time and historic situational awareness for transportation in the Chattanooga area. I manage and analyze data from over 100 different data sources. This data can come from sensors, probes, surveys, or other sources, with different spatiotemporal resolutions and availabilities.
Real-Time Mobility Control System
I am also a member of an LDRD which uses similar data. For this LDRD, my main focus is on analyzing and predicting signal timings.
Coupled Urban Systems
Until recently, I worked on the Coupled Urban Systems Project, which was a project under the Exascale Computing Project umbrella. During this project, I initialized a transportation simulation (TRANSIMS) using population and travel survey data, and coupled the outputs of this transportation simulation to a building energy simulation (EnergyPlus) by assigning occupants of vehicles to buildings that were near their destination. Furthermore, I has contributed to coupling the transportation output to an emissions model (MOVES).