Faculty

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  • B

  • Nicholas Brummell

    Nicholas Brummell

    • Professor, Applied Mathematics
    • 831-459-2122
    • Baskin Engineering, Room 357A
    • Applied Mathematics, fluid dynamics, magnetogydrodynamics, astrophysical fluid dynamics, geophysical fluid dynamics, numerical analysis, high-performance computing, solar physics, numerical simulations of astrophysical and geophysical fluid dynamics

  • D

  • Shawfeng Dong

    • Adjunct Professor of Applied Mathematics
    • 831-332-1855 (Mobile)
    • High performance computing and distributed computing
    • Machine learning and deep learning
    • Cyberinfrastructure and cybersecurity

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  • Pascale Garaud

    Pascale Garaud

    • Professor of Applied Mathematics
    • Graduate Director, Department of Applied Mathematics
    • 831-459-1055
    • Baskin Engineering, Room 353A
    • Astrophysical Fluid Dynamics.
    • Magnetohydrodynamics
    • Geophysical Fluid Dynamics

  • Marcella Gomez

    Marcella Gomez

    • Assistant Professor, Applied Mathematics
    • 831-459-1043
    • BE 359b
    • Control and dynamical systems with applications to synthetic biology including modeling, analysis, and design of biological networks involved in gene regulation, metabolic engineering, and spatial patterning

  • Qi Gong

    Qi Gong

    • Professor, Applied Mathematics
    • 831-459-3753
    • Baskin Engineering, Room 361A
    • Computational optimal control for nonlinear systems, trajectory optimization and motion planning, optimal search, state and output feedback control of nonlinear systems, aerospace control applications

  • Rajarshi Guhaniyogi

    Rajarshi Guhaniyogi

    • Assistant Professor, Department of Statistics
    • 831-459-5797
    • Baskin Engineering, Room 359
    • Areal wombling, compressive methods for high-dimensional regression, multi-linear modeling, manifold regression, nonparametric bayes, online learning with massive streaming data, spatial bayes modeling for massive geostatistical datasets, bayesian tensor regression; applications in epidemiology, forestry, genomics, neuroscience; machine learning applications

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  • Abhishek Halder

    Abhishek Halder

    • Assistant Professor, Applied Mathematics
    • 831-459-2513
    • BE 365B
    • Dynamical systems and control theory, optimization, stochastic processes, information geometry, application to large scale cyberphysical systems and machine learning

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  • Yonatan Katznelson

    Yonatan Katznelson

    • Lecturer, Applied Mathematics & Statistics
    • 831-459-1046
    • Baskin Engineering, Room 361B
    • Number theory

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  • Dongwook Lee

    Dongwook Lee

    • Associate Professor, Applied Mathematics
    • 831-502-7708
    • Baskin Engineering, Room 353C
    • Computational mathematics and numerical analysis, computational magnetohydrodynamics and gas dynamics, high-order shock capturing numerical methods, Newton-Krylov-type iterative implicit methods, high-performance computing, numerical modeling of astrophysics and high-energy-density physics

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  • Marc Mangel

    Marc Mangel

    • Distinguished Research Professor of Applied Mathematics
    • Director, Center for Stock Assessment Research
    • 831-234-2970
    • Baskin Engineering, Room 359A
    • Mathematical modeling of biological phenomena, especially quantitative issues in fishery management; mathematical and computational aspects of aging and disease; impact of technology on biological systems

  • Bruno Mendes

    Bruno Mendes

    • Lecturer, Applied Mathematics & Statistics
    • Research Associate, Applied Mathematics & Statistics
    • 831-459-1033
    • Baskin Engineering, Room 373
    • Parameter and model uncertainty in geophysics and groundwater contamination modeling, Bayesian statistics, parallel computation

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  • Daniele Venturi

    Daniele Venturi

    • Assistant Professor of Applied Mathematics
    • 831-502-7249
    • Baskin Engineering, Room 353B
    • Uncertainty Quantification (UQ) and computational probability, multi-fidelity stochastic modeling and data-driven stochastic multiscale mathematics, numerical analysis and high-performance scientific computing, probability density function methods for forward and inverse UQ problems, Mori-Zwanzig approach to dimension reduction and uncertainty quantification, functional differential equations

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  • Hongyun Wang

    Hongyun Wang

    • Professor, Applied Mathematics
    • 831-459-5653
    • Baskin Engineering, Room 369
    • Single molecule studies and biophysics, statistical physics, stochastic processes and stochastic differential equations, classical analysis, numerical analysis

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