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SUMMARY:MICDE / Astronomy Seminar:  Shy Genel\,  Associate Research Scientist at the Flatiron Institute\, Simons Foundation
DESCRIPTION:Bio: Dr. Shy Genel is an astrophysicist working in the field of computational galaxy formation and cosmology; he is studying how galaxies form and evolve and how they can be used to infer fundamental properties of our Universe. The main tool he employs in his research is cosmological hydrodynamical simulations\, which run on supercomputers and generate digital ‘mini-universes’ that can be analyzed in ways that are not available with observational data. In recent years he has been employing machine learning models to develop novel ways to extract information from this type of simulations.\nDr. Genel received his PhD in 2011 under the guidance of 2020 Nobel Prize in Physics laureate Prof. Reinhard Genzel at the Max-Planck-Institute for Extraterrestrial Physics in Garching\, near Munich. Between 2011-2016 he completed post-doctoral fellowships at the Harvard-Smithsonian Center for Astrophysics and at Columbia University\, and in 2016 he joined the newly-founded Center for Computational Astrophysics at the Flatiron Institute (a division of the Simons Foundation)\, where he serves today as a Research Scientist. \nCosmological Hydrodynamical Simulations and Machine Learning at the Intersection of Galaxy Formation and Cosmology\nAs galaxy surveys encode a wealth of information about the basic properties of our Universe\, improved modeling of galaxy formation will result in improved constraints on cosmology and fundamental physics. Cosmological hydrodynamical simulations\, which follow the coupled evolution of dark and ‘normal’ matter from cosmologically motivated initial conditions\, are a primary tool for studying how galaxies form. After a brief review of the revolution of the past decade in the scale and fidelity of cosmological simulations\, I will discuss a new direction the field is taking in the past few years\, where machine learning is opening new ways to extract cosmological information from the non-linear process of galaxy formation. \n  \n\n  \nThe MICDE Winter 2024 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Astronomy\, Dr. Genel will be hosted by Dr. Monica Valluri\, Research Professor of Astronomy. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \n 
URL:https://micde.umich.edu/event/shy-genel-associate-research-scientist-flatiron-institute/
LOCATION:411 West Hall (1085 S. University)\, 1085 S. University Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,Micde Seminar,MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20240126T120000
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SUMMARY:MICDE / CEE Seminar: Michael D. Shields\, Associate Professor of Civil & Systems Engineering at Johns Hopkins University
DESCRIPTION:Bio: Michael D. Shields is an Associate Professor in the Department of Civil & Systems Engineering at Johns Hopkins University. He holds a secondary appointment in the Department of Materials Science and Engineering\, and is a fellow of the Hopkins Extreme Materials Institute. Prof. Shields conducts methodological research in uncertainty quantification (UQ) and probabilistic modeling for problems in mechanics\, materials science\, and physics with applications ranging from multi-scale material modeling to assessing the reliability and safety of large-scale structures. He received his Ph.D. in Civil Engineering and Engineering Mechanics from Columbia University in 2010\, after which he was employed as a Research Engineer in applied computational mechanics at Weidlinger Associates\, Inc. He joined the faculty at Johns Hopkins in 2013. For his work in UQ\, Prof. Shields has been awarded the ONR Young Investigator Award\, the NSF CAREER Award\, the DOE Early Career Award\, and the Johns Hopkins University Catalyst Award. Prof. Shields and his group also develop the open-source UQpy (Uncertainty Quantification with Python) software\, which is a general toolbox and development environment for UQ in computational\, mathematical\, and physical systems. \nUQ for ML and ML for UQ: Why Uncertainty Quantification and Machine Learning Go Hand-in-Hand\nUncertainty Quantification (UQ) and Machine Learning (ML) play an increasingly important role in physics-based computational modeling. Especially with the recent rise of scientific machine learning (SciML) and physics-informed ML\, new computational tools are being harnessed to solve bigger and more challenging problems. Moreover\, UQ has become an integral part of any physics-based modeling effort because our models\, as carefully developed as they may be\, are rife with uncertainties (both epistemic and aleatory) in their parameters\, inputs/excitations\, and sometimes in the form of the models themselves. When SciML methods are then applied in these applications\, additional uncertainties are introduced. In this talk\, I will broadly introduce the interrelated roles that UQ and ML play in physics-based modeling. I specifically distinguish between “UQ for ML” and “ML for UQ” and describe the important role that each plays in the modern physics-based computational modeling paradigm – demonstrating the role of UQ/ML in various applications of interest ranging from multi-scale materials modeling to high energy-density physics. \n  \n\n  \nThe MICDE Winter 2024 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Civil and Environmental Engineering (CEE). Dr. Shields will be hosted by Dr. Evgueni Filipov\, Associate Professor of Civil and Environmental Engineering. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-cee-seminar-michael-d-shields-associate-professor-of-civil-systems-engineering-at-johns-hopkins-university/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,Micde Seminar,MICDE Seminar Series
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