Joseph Paki

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Graduation Year

2019

Thesis Title

Quantum Monte Carlo Methods and Extensions for the 2D Hubbard Model

 

Arya Farahi

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Graduation Year

2018

Thesis Title

Multi-Wavelength Facets of Galaxy Clusters

Current Job

McWilliams Postdoctoral Research Fellow at the McWilliams Center for Cosmology, Carnegie Mellon University

Sriram Ganesan

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Graduation Year

2017

Thesis Title

Microstructural Response of Magnesium Alloys: 3D Crystal Plasticity and Experimental Validation

Current Job

RET Design Engineer at Intel Corporation

Jessica Muir

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Graduation Year

2018

Current Job

Porat Fellow at the Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) at Stanford

Camille Avestruz

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Dr. Avestruz is a computational cosmologist. She uses simulations to model, predict, and interpret observed large-scale cosmic structures. Her primary focus is to understand the evolution of galaxy clusters. These are the most massive gravitationally collapsed structures in our universe, comprised of hundreds to thousands of galaxies. Other aspects of her work prepare for the next decade of observations, which will produce unprecedented volumes of data. In particular, she is leading software development efforts within the clusters working group of the Large Synoptic Survey Telescope to calibrate galaxy cluster masses from simulation data. Dr. Avestruz also incorporates big data methods, including machine learning, to extract gravitational lensing signatures that probe the mass distribution of massive galaxies and galaxy clusters.

[Click on image to see video] Image projection of various components and properties of a simulated galaxy cluster in its last 8 gigayears of formation. The top left panel shows the underlying dark matter content, the top middle image shows the distribution of stars, and the remaining four panels are properties of the gas content: density, temperature, entropy, and metallicity. To model the evolution of galaxy clusters in a cosmological volume, the simulation uses adaptive refinement in space and time in order to span the relevant dynamic range of the system.