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Most Probable Tipping Events in Stochastically Perturbed Fillippov SystemsJohn Gemmer, Department of Mathematics, Wake Forest University

Engineering and Mathematical Modeling of Multi-cell Biological Systems: Synthetic Adhesins, Polygonal Phototaxis, and Moving Networks Ingmar Riedel-Kruse, Department of Molecular and Cellular Biology, University of Arizona

X-ray measurement model and information-theoretic metric incorporating material variations with energy and spatial correlationsYijun Ding, College of Optical Sciences, University of Arizona

Modeling cosmological observations Elisabeth Krause, Astronomy, University of Arizona

Developing Measurably Effective Technical Training Programs in Industry Tod Newman, Lead, Raytheon Center for Artificial Intelligence and Machine Learning, Raytheon

The Legacy Of Rudolph Kalman: From Navigation Through Weather Forecasting To Machine LearningAndrew Stuart, Computing and Mathematical Sciences, Cal Tech

Online Optimization and EnergyAdam Wierman, Computing and Mathematical Sciences, CalTech

The Theory, Science and “Art” of Data Assimilation for Numerical Weather Prediction Dr. Nancy L. Baker, Head, Data Assimilation Section, Marine Meteorology Division, Naval Research Laboratory, Monterey CA