Data Science
Data Science has its foundations in mathematics, statistics, and computer science. The Department of Mathematics, and within it the Center for Approximation and Mathematical Data Analytics (CAMDA), supports a diverse program offering strong training in the mathematical core of Data Science including approximation theory, compressed sensing, learning theory, numerical analysis, optimal recovery, signal/image processing, as well as targeted application areas. Several of its faculty are also affiliates with the Texas A&M Institute of Data Science (TAMIDS). Ongoing research is supported by grants from the National Science Foundation and the Department of Defense.
Regular events |
Faculty
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Andrea Bonito
Professor of Mathematics
Adaptive Methods, Geometric PDEs, Non Newtonian Fluid Dynamics, and High Dimensional Approximation Methods.
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Ronald DeVore
Koss Professor of Mathematics, Distinguished Professor
Approximation Theory, Numerical Analysis, Data Assimilation, and Deep Learning.
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Yalchin Efendiev
Professor of Mathematics, Mobil Chair in Computational Science
Numerical Analysis, Multiscale Finite Element Method, and Flow in Porous Media.
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Simon Foucart
Professor of Mathematics
Compressive Sensing, Approximation Theory, Computational Mathematics, and Bioinformatics.
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William Johnson
A.G. and M.E. Owen Chair, Distinguished Professor
Geometry of Discrete Metric Spaces and Metric Embeddings.
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Peter Kuchment
Distinguished Professor of Mathematics
PDEs, Mathematical Physics, Computerized Tomography, Geometric Analysis, and Imaging Science.
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Matthias Maier
Assistant Professor of Mathematics
Multiscale Effects in Optical Metamaterials, Multiscale Methods, Computational Fluid Dynamics, Finite Element Methods and Software.
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Francis Narcowich
Professor of Mathematics
Radial Basis Functions, Approximation and Interpolation on Spheres, Scattered-Data Surface Fitting, Neural Networks, and Wavelets.
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Grigoris Paouris
Professor of Mathematics
Functional Analysis.
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Guergana Petrova
Professor of Mathematics
Numerical Methods for PDEs, and Approximation Theory, Wavelets.
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Thomas Schlumprecht
Professor of Mathematics
Functional Analysis, Banach spaces, Probability Theory, Convex Geometry, and Mathematics in Finance.
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Jonathan Siegel
Assistant Professor
Approximation theory, approximation theory of neural networks, and its application to numerical PDEs.
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Peter Stiller
Professor of Mathematics
Functorial Data Clustering Methods, Geometry of Injective Envelopes and Spanning Complexes, Topological Data Analysis.
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Edriss Titi
Arthur Owen Professor of Mathematics
Nonlinear PDEs, Atmospheric and Oceanic Dynamics, Data Assimilation, and Control Theory.
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Minh Tran
Assitant Professor
Stochastic Control and Machine Learning
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Stephan Wojtowytsch
Assitant Professor
Applied analysis, machine learning, partial differential equations and the calculus of variations.