Wednesday, June 24, 2020 — 11:30 AM EDT
Katie Bouman

Katie Bouman is an assistant professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. Before joining Caltech, she was a postdoctoral fellow in the Harvard-Smithsonian Center for Astrophysics. She received her Ph.D. in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT in EECS. Before coming to MIT, she received her bachelor's degree in Electrical Engineering from the University of Michigan. The focus of her research is on using emerging computational methods to push the boundaries of interdisciplinary imaging.

Wednesday, June 17, 2020 — 11:30 AM EDT
Laurence Perreault Levasseur

Laurence Perreault-Levasseur is an assistant professor at the University of Montréal and an Associate Member of Mila, where she conducts research in the development and application of machine learning methods to cosmology. She is also a Visiting Scholar at the Flatiron Institute in New York City.

Thursday, June 11, 2020 — 11:30 AM EDT
David Weinberg

David Weinberg is a Distinguished University Professor and Chair of the Department of Astronomy at Ohio State University.  His research interests include large scale structure, weak lensing, and observational constraints on cosmic acceleration; the physics of galaxy formation, the intergalactic medium, and circumgalactic medium; and the chemical evolution of the Milky Way.  Prior to joining the Ohio State faculty, he received his PhD from Princeton University (1989) and held postdoctoral positions at Cambridge University, U.C. Berkeley, and the Institute for Advanced Study. 

Wednesday, June 3, 2020 — 11:30 AM EDT
Dan Scolnic

Dan Scolnic is an assistant professor of physics at Duke University.  He received his B.S. from MIT and PhD from Johns Hopkins University.  He received a NASA Hubble Fellowship as well as a Kavli Institute for Cosmological Physics Fellowship for his postdoctoral work at The University of Chicago.  This year, Dan won the prestigious Packard Fellowship.  Dan leads work in multiple collaborations on using Type Ia Supernovae to measure cosmological parameters.  

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