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APPM Colloquium: Speaker : Susan Murphy Affiliations: Department of Statistics, Harvard ³Ô¹ÏÍøDepartment of Computer Science, Harvard ³Ô¹ÏÍøRadcliffe Institute for Advanced Study, Harvard ³Ô¹ÏÍø  Day/Time:

Alex Hening, Department of Mathematics, Tufts UniversyThe competitive exclusion principle in stochastic environmentsThe competitive exclusion principle states in its simplest form that a number of species competing for a smaller number of

Vrushali Bokil, Department of Mathematics, Oregon State ³Ô¹ÏÍøCompatible Discretizations for Maxwell’s Equations in Complex MaterialsIn this talk, we discuss the construction of a specific compatible discretization, the Mimetic Finite

William J. Layton, Department of Mathematics, ³Ô¹ÏÍø of Pittsburgh5 ideas, good and bad, in computational fluid dynamics The goal of numerical analysis of the Navier-Stokes equations is to extend the accuracy, reliability and

James Sethian; Department of Mathematics; ³Ô¹ÏÍø of California, BerkeleyAdvances in Advancing Interfaces: The Mathematics of Manufacturing of Industrial Foams, Fluidic Devices, and Automobile PaintingHow do inkjet printers

Aleksandar Donev, Professor of Mathematics, Courant Institute of Mathematical Sciences, New York ³Ô¹ÏÍøNumerical Methods for Inextensible Slender Fibers in Stokes FlowEvery animal cell is filled with a cytoskeleton, a dynamic gel made of

Bernard Deconinck, Professor and Chair of Applied Mathematics, ³Ô¹ÏÍø of WashingtonPole dynamics of solutions of integrable equationsKruskal (1974) suggested that the dynamics of solutions of the KdV equation could be understood by examining

Philippe Naveau, Laboratoire des Sciences du Climat et de l'Environnement, IPSL-CNRS, FranceDetecting changes in multivariate extremes from climatological time series Joint work with Sebastian Engelke (Geneva ³Ô¹ÏÍø) and Chen Zhou (Erasmus

Julie K. Lundquist, Dept. of Atmospheric and Oceanic Sciences and Fellow, Renewable and Sustainable Energy Institute at ³Ô¹ÏÍø of Colorado, BoulderTurbulence to turbine wakes: challenges in the atmospheric science of wind energy (that

Michael D. Schneider, Group Leader for Astronomy & Astrophysics Analytics, Physics Division, Lawrence Livermore National LaboratoryQuantum Machine Learning using Gaussian ProcessesQuantum computers may be transformative for a variety of