Computing Systems for Data-Driven Science
Georgia Karagiorgi is an Assistant Professor of Physics at Columbia University. She received her Ph.D. in Experimental High Energy Physics from MIT in 2010. Her main research is in experimental particle physics, including searches for new physics in the neutrino sector with particle-accelerator-based and/or large underground neutrino experiments. The discovery and study of rare processes with the next generation of neutrino detectors requires continuous and efficient processing of data streams with rates of up to multiple terabytes per second. Her current research includes data processing hardware design and exploration of digital data processing techniques for high data rate environments, and more recently she has been exploring the implementation of machine learning algorithms on field-programmable gate arrays.
Prof. Karagiorgi is a recipient of an NSF CAREER Award (2018); an Institute of Particle Physics and Phenomenology Associateship at Durham University (2014); the APS Mitsuyoshi Tanaka Thesis Prize in Experimental High Energy Physics (2012); the MIT Martin Deutsch Award for Excellence in Experimental Physics (2010); and the Lawrence Fellowship from Lawrence Livermore National Lab (2010; declined). She is currently serving as Technical Lead for the data acquisition system for the planned U.S.-based Deep Underground Neutrino Experiment.