Andrew Stuart
Andrew Stuart, April 2022
Andrew M. Stuart
Alma materUniversity of Bristol
University of Oxford
AwardsLeslie Fox Prize for Numerical Analysis (1989)
Monroe H. Martin Prize (1995)
James H. Wilkinson Prize in Numerical Analysis and Scientific Computing (1997)
Germund Dahlquist Prize (1997)
Whitehead Prize (2000)
J. D. Crawford Prize (2007)
Scientific career
FieldsApplied mathematics Computational mathematics
University of Bath
Stanford University
Warwick University
California Institute of Technology

Andrew M. Stuart FRS[1] is a British and American mathematician, working in applied and computational mathematics. In particular, his research has focused on the numerical analysis of dynamical systems, applications of stochastic differential equations and stochastic partial differential equations, the Bayesian approach to inverse problems, data assimilation, and machine learning.[2]


Andrew Stuart graduated in Mathematics from Bristol University in 1983, and then obtained his DPhil from the Oxford University Computing Laboratory in 1986.[3]


After postdoctoral research in applied mathematics at Oxford and MIT, Stuart 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. He is currently Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology.

Honors and awards

Stuart has been honored with several awards, including the 1989 Leslie Fox Prize for Numerical Analysis, the Monroe H. Martin Prize from the Institute for Physical Science and Technology at the University of Maryland, College Park, the SIAM James Wilkinson Prize, the SIAM Germund Dahlquist Prize in 1997, the Whitehead Prize from the London Mathematical Society in 2000, and the SIAM J.D. Crawford Prize in 2007.[4] He was an invited speaker at the International Council for Industrial and Applied Mathematics (ICIAM) in Zurich in 2007[5] and Tokyo in 2023,[6] and at the International Congress of Mathematicians (ICM) in Seoul, 2014.[7] In 2009 he was elected an inaugural fellow of the Society for Industrial and Applied Mathematics (SIAM),[8] and in 2020 he was elected a Fellow of the Royal Society.[1] In 2022, he was named a Vannevar Bush Faculty Fellow.[9]


The majority of Stuart's published work is in archived journals. In addition to mathematics research published in archival journals, Stuart is also the author of several books in mathematics, including a research monograph concerning Dynamical Systems and Numerical Analysis,[10] a research text on Multiscale Methods,[11] a graduate text on Continuum Mechanics,[12] a text on Data Assimilation,[13] and a text on Inverse Problems.[14]


  1. ^ a b "Outstanding scientists elected as Fellows and Foreign Members of the Royal Society". Royal Society. 29 April 2020. Retrieved 23 November 2022.
  2. ^ "Andrew Stuart - Caltech". Retrieved 24 July 2023.
  3. ^ "Andrew Stuart | Division of Engineering and Applied Science". Retrieved 24 July 2023.
  4. ^ "J.D. Crawford Prize". SIAM. Retrieved 20 May 2015.
  5. ^ "ICIAM 2007 – Zurich | ICIAM". Retrieved 25 July 2023.
  6. ^ "Invited Speakers | ICIAM". Retrieved 24 July 2023.
  7. ^ "International Congress of Mathematicians". Retrieved 24 July 2023.
  8. ^ "Class of 2009". Retrieved 24 July 2023.
  9. ^ "Department of Defense Announces 2022 Class of Vannevar Bush Faculty Fellowship". U.S. Department of Defense. Retrieved 31 July 2023.
  10. ^ Stuart, Andrew; Humphries, A. R. (28 November 1998). Dynamical Systems and Numerical Analysis. Cambridge University Press. ISBN 978-0-521-64563-8.
  11. ^ Pavliotis, G. A.; Stuart, Andrew (19 February 2008). Multiscale Methods: Averaging and Homogenization. Springer Science & Business Media. ISBN 978-0-387-73828-4.
  12. ^ Gonzalez, Oscar; Stuart, Andrew M. (17 January 2008). A First Course in Continuum Mechanics. Cambridge University Press. ISBN 978-0-521-88680-2.
  13. ^ Law, Kody; Stuart, Andrew; Zygalakis, Konstantinos (5 September 2015). Data Assimilation: A Mathematical Introduction. Springer. ISBN 978-3-319-20325-6.
  14. ^ Sanz-Alonso, Daniel; Stuart, Andrew; Taeb, Armeen (2023). Inverse Problems and Data Assimilation. London Mathematical Society Student Texts. Cambridge: Cambridge University Press. ISBN 978-1-009-41432-6.