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Anna-Karin Tornberg, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden Layer potentials - quadrature error estimates and approximation with error controlWhen numerically solving PDEs reformulated as integral

Michelle Girvan, Department of Physics, University of Maryland Tailored Forecasts from Short Time Series Using Meta-Learning and Reservoir Computing Machine learning (ML) models can be effective for forecasting the dynamics of unknown

Vladimir Rokhlin, Arthur K Watson Professor of Computer Science & Mathematics, Yale University Finding scattering resonances via generalized colleague matrices  Locating scattering resonances is a standard task in certain areas of

Deanna Needell, Department of Mathematics, University of California - Los Angeles (UCLA) Fairness and Foundations in Machine LearningIn this talk, we will address areas of recent work centered around the themes of fairness and foundations in

Applied Math for the Heart; Take a few PDEs and call me in the morning.The heart is an electro-mechanical system in which, under normal conditions, electrical waves propagate in a coordinated manner to initiate an efficient contraction. In

Nick Trefethen, Professor of Applied Mathematics in Residence, Harvard University The AAA Algorithm for Rational ApproximationWith the introduction of the AAA algorithm in 2018 (Nakatsukasa-Sete-T., SISC), the computation of rational

Ioannis Kevrekidis, Bloomberg Distinguished Professor, Department of Applied Mathematics and Statistics, Johns Hopkins Whiting School of Engineering No Equations, No Variables, No Space and No Time: Data and the Modeling of Complex SystemsI

Dane Taylor, Department of Mathematics and Statistics, University of Wyoming Consensus processes over networks: Past, present, and futureModels for consensus---that is, the reaching of agreement---have been developed, e.g., to study how group

Cecilia Diniz Behn, Department of Applied Mathematics and Statistics, Colorado School of Mines Dynamics of sleep homeostasisThe “homeostatic sleep drive” describes sleep need that increases during wake and decreases during sleep. Using a

Mark Ward, Department of Mathematics, Purdue University The Data Mine Model for Partnerships The Data Mine at Purdue University is a pioneering experiential learning community for undergraduate and graduate students of any background to