Andrew M. Stuart

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Andrew M. Stuart

Research[edit]

Andrew M. Stuart is a British mathematician, working in applied and computational mathematics. In particular his research has focussed on the numerical analysis of dynamical systems, applications of stochastic ordinary and partial differential equations, Bayesian inverse problems and data assimilation.


He has won numerous awards, including the 1989 Leslie Fox Prize for Numerical Analysis, the Monroe H. Martin Prize from IPST Maryland, the SIAM James Wilkinson Prize and Germund Dahlquist Prize in 1997, the Whitehead Prize from the London Mathematical Society in 2000, and the J.D. Crawford Prize in 2007. [1] He has been an invited speaker at the International Council for Industrial and Applied Mathematics (ICIAM) in Zurich, 2007, and at the International Congress of Mathematicians (ICM) in Seoul, 2014.

Education and Career[edit]

Andrew Stuart graduated in Mathematics from Bristol University in 1983, and then obtained his DPhil from the Oxford University Computing Laboratory in 1986. After postdoctoral study in applied mathematics at MIT, he held permanent positions at the University of Bath (1989-1992), in mathematics, at Stanford University (1991-1999), in engineering, and at Warwick University (1999-2016), in mathematics.[2] He is currently Professor of Mathematics at the California Institute of Technology.

Bibliography[edit]

In addition to published mathematics research in archival journals, Andrew Stuart is also the author of several books in mathematics, including a research mongoraph concerning Dynamical Systems and Numerical Analysis,[3] a research text on Multiscale Methods,[4] a graduate text on Continuum Mechanics,[5] and a research text on Data Assimilation.[6]


  • Stuart, A.M.; Humphries, A.R. (1996), Dynamical Systems and Numerical Analysis, Cambridge University Press 
  • Stuart, A.M.; Pavliotis, G.A. (2008), Multiscale Methods: Averaging and Homogenization, Springer 
  • Gonzalez, O.; Stuart, A.M. (2008), A First Course in Continuum Mechanics, Cambridge University Press 
  • Law, K.J.H.; Stuart, A.M.; Zygalakis, K.C. (2015), Data Assimilation: A Mathematical Introduction, Springer 

Collaborators[edit]

Andrew Stuart has worked with a large number of collaborators, including a significant number of PhD students and postdoctoral researchers.

References[edit]

External links[edit]