Ian L. Dryden

Contact details

From August 12th, 2021 please use the following email address at Florida International University:

e-mail: Ian -DOT- Dryden -AT- fiu -DOT- edu

Mail: Department of Mathematics and Statistics, 11200 SW 8th Street, DM 403B, Miami, FL 33199, USA.

Research Interests

Shape analysis; object data analysis; manifold-valued data analysis; high-dimensional data analysis; image analysis and applications of statistics.

Teaching 2020/21

  • MATH3026 Time Series Analysis
  • MATH4022 Time Series and Forecasting
  • MATH4001 MMath Dissertation
  • MATH4021 MSc Statistics Dissertation


  • May 14th, 2021. Paper accepted to appear in Annals of Applied Statistics : Manifold valued data analysis of samples of networks, with applications in corpus linguistics with Katie Severn, Simon P. Preston
  • March 31, 2021. R package version 1.2.6 available on CRAN: shapes.
  • January 20, 2021. Paper accepted to appear in Stat : Non-parametric regression for networks with Katie Severn and Simon Preston
  • September 15, 2020. Paper accepted to appear in Journal of the Royal Statistical Society, Series B : Smoothing splines on Riemannian manifolds, with applications to 3D shape space with Kwang-Rae Kim, Huiling Le and Katie Severn
  • October 27th, 2020. Paper on arXiv The Bayesian Spatial Bradley--Terry Model: Urban Deprivation Modeling in Tanzania with Rowland Seymour, David Sirl, Simon Preston, Madeleine Ellis, Bertrand Perrat and James Goulding.
  • Jun 10, 2019. Paper accepted to appear in Annals of Applied Statistics : Principal nested shape space analysis of molecular dynamics data

    Short Bio

    I am a Professor of Statistics with 30 years research experience, and my main area of research is the development of statistical methodology in highly-structured data analysis, including shapes, images and functional data. I obtained my PhD from the University of Leeds in 1989 and I have taught and carried out research at the University of Nottingham, University of South Carolina, University of Leeds and University of Chicago. I served as Head of School of Mathematical Sciences, University of Nottingham from 2014-2018.

    I have published about 150 articles, and my joint book on Statistical Shape Analysis has about 5300 citations (Google Scholar). I have given many invited presentations worldwide, and was co-organiser of a year-long programme on the Analysis of Object Data at SAMSI, North Carolina. I have been PI/Co-I of more than £15 million in grants from EPSRC, BBSRC, NERC, Leverhulme Trust, Royal Society, Innovate UK and NSF. I am an elected Fellow of the Institute of Mathematical Statistics, and was awarded a Royal Society Wolfson Research Merit Award (2012-2017).

    Recent CV

  • CV (including full publications list, teaching & learning information and administration)


  • Dryden, I.L. and Mardia, K.V. (2016). Statistical Shape Analysis, with Applications in R. Second Edition John Wiley and Sons, Chichester. 454 + xxiii pages.
  • Dryden, I.L. and Kent, J.T. (2015) (editors). Geometry Driven Statistics John Wiley and Sons, Chichester. 394 + xviii pages.
  • Dryden, I. L. and Mardia, K. V. (1998). Statistical Shape Analysis. John Wiley and Sons, Chichester. 347 + xvii pages.

    Further information

  • Google Scholar Profile
  • ORCID Profile
  • Scopus
  • Researcher ID
  • arXiv reports


  • Official School webpage
  • Very basic introduction to R
  • Shape and Image Analysis course
  • Tony Spencer FRS Memorial Lecture 2018
  • Data Driven Discovery Research Priority Area [internal workspace]
  • Royal Society Unconscious Bias video
  • PhD thesis