Brown Bag Seminar

<p><strong>Investigation of Models of Instability Growth in Convergent Geometry</strong><br />
William Gammel,&nbsp;Program in Applied Mathematics, University of Arizona</p>

<p><strong>Approximation of Ideal observer using GAN and MCMC</strong><br />
Dan Li, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Machine Learning Stochastic Differential Equations:&nbsp; Applications in Reduced Order Models of Turbulence</strong><br />
Criston Hyett, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Summer Research Experience at the Nevada National Security Site: An MLE Approach to Metrology of Laser Propagation Axes</strong><br />
Sheldon Deeny, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Analyzing Multifaceted Scalar fields through Topological Similarity</strong><br />
Brian Bollen, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Transitioning into the Role of a Machine Learning Engineer</strong><br />
Andrew Leach,&nbsp;AI Engineer, Google Cloud Professional Services</p>

<p><strong>Are Neural Networks Cheating?</strong><br />
Mitch Paul, Department of Computer Science, University of Arizona</p>

<p>Breaking into Data Science<br />
Dan McDade,&nbsp;CTO and&nbsp;Sajeev Popat,&nbsp;CEO, Propheto</p>

<p><strong>Data-driven discovery of reduced Lagrangian models of turbulence</strong><br />
Michael Woodward, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Stochastic Continuous Epidemiology: How Network Structure Effects Spreading Phenomena</strong><br />
Bill Fries, Program in Applied Mathematics, University of Arizona</p>

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