Applied Mathematics and Statistics

Applied mathematics is the application of mathematical methods to other fields such as physics, biology, engineering, computer science, medicine, finance, business, and social science.  The research applications of our applied mathematics faculty at Northeastern span a wide range of areas, including machine learning, topological data analysis, network science, information theory, optimization, and mathematical biology.

Members

  • Calina Copos

    Mathematical biology, modeling, partial differential equations, numerical methods, fluid mechanics

  • Aidong Ding

    Statistical methods for biostatistics/engineering/finance, cybersecurity

  • Ken Duffy

    Ken Duffy

    Applied probability, information theory, statistics

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    Paul Hand

    Inverse problems, signal recovery, machine learning

  • Jose Perea

    Jose Perea

    Applied algebraic and geometric topology, data science

  • David Rosen

    Optimization, Riemannian geometry, statistical estimation, semidefinite programming, trustworthy autonomous systems

  • Eugene Tang

    Quantum computing and information theory

  • Zhiyuan Zhang

    Partial differential equations

Related Seminars

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