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AsPr Janice Scealy

Associate Professor, Research School of Finance, Actuarial Studies & Statistics

20112026

Research activity per year

Personal profile

Biography

Education

PhD in Statistics, The Australian National University awarded on 01/2011. Thesis title: Modelling Techniques for Compositional Data Using Distributions Defined on the Hypersphere. Supervisor: Prof Alan Welsh.

Bachelor of Mathematics degree with first class honours in Statistics, University of Wollongong awarded on 12/2003.

Employment History

Associate Professor, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2022 - present 

 

ARC DECRA Fellow, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 03/2018 - 12/2022. 

Senior Lecturer, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2017 - 02/2018.

Lecturer, Research School of Finance, Actuarial Studies and Statistics, The Australian National University. 01/2015 - 12/2016.

Visitor, Centre for Mathematics and its Applications, The Australian National University. 01/2014 - 01/2015.

Postdoctoral Fellow, Research School of Finance, Actuarial Studies and Applied Statistics, The Australian National University. 01/2013 - 01/2014.

Postdoctoral Fellow, Centre for Mathematics and its Applications, The Australian National University. 01/2011 - 01/2013.

Statistician, Analytical Services Branch and Statistical Services Branch, Australian Bureau of Statistics. 01/2004 - 01/2011.

PhD in Statistics, The Australian National University. Thesis title: \emph{Modelling Techniques for Compositional Data Using Distributions Defined on the Hypersphere}. Supervisor: Prof Alan Welsh.

Qualifications

PhD in Statistics

Research Interests

  • Compositional data analysis.
  • Directional statistics, shape analysis and statistics for manifold-valued data.
  • Robust statistics.
  • Statistics in the Earth Sciences.
  • Applications in Palaeomagnetism, Seismology, Geodynamics and Geochemistry.
  • Geostatistics and the analysis of spatial data.
  • Model selection in linear mixed models.

Research student supervision

  • Registered to supervise

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