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Alex Szalay is a Bloomberg Distinguished Professor at Johns Hopkins University, focusing on data-intensive computer systems and applications in cosmology. He leads the Institute for Data-Intensive Engineering and Science, where he investigates statistical measures of the spatial distribution of galaxies and galaxy formation. Szalay is a member of the Data Science and AI Institute and has received numerous accolades for his contributions to the field, including the Alexander Von Humboldt Research Award and the Jim Gray eScience Award. He was honored with an honorary degree from Eötvös Loránd University in 2008 and the IEEE Computer Society Sidney Fernbach Memorial Award in 2015. His team's work on the Sloan Digital Sky Survey database system earned them the 2021 ACM Special Interest Group Management Data Systems Award. Szalay completed his BS in physics at Lajos Kossuth University in Hungary and earned his MS in theoretical physics and PhD in astrophysics from Eötvös University.
Department of Pathology - PhD in Pathobiology. GRE is not required.