Computing Systems for Data-Driven Science
Greg L. Bryan is a Professor of Astronomy at Columbia University. He received a Ph.D. in astrophysics at the University of Illinois at Urbana-Champaign and has held positions at Princeton, MIT, and Oxford before coming to Columbia. His primary research focus involves the use of large-scale computational hydrodynamic and magneto-hydrodynamic models, with a particular focus on massively parallel adaptive mesh methods. He has applied such techniques to formation of large-scale structure in the universe, the evolution of galaxies, and the birth of the first stars in Universe.
Dr. Bryan is a recipient of a Princeton Lyman Spitzer Fellowship, a Hubble Fellowship, an NSF CAREER award and the Leverhulme Trust Prize. He has published over 120 peer-reviewed publications, served on the editorial board of Computers in Science and Engineering, and is the original developer of the widely used open-source, adaptive-mesh refinement code Enzo (enzo-project.org). He has also carried out numerical simulations used to generate visualizations for a number of programs, including the Oscar-nominated IMAX film Cosmic Voyage, as well as shows at the Rose Center for Earth and Space at the American Museum of Natural History (AMNH). He also received the Columbia Graduate School of Arts and Sciences Faculty Mentoring Award in 2009.