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Adjunct Professor Helen MacGillivray

Science and Engineering Faculty,
Mathematical Sciences

Personal

Name
Adjunct Professor Helen MacGillivray
Position(s)
SEF Sessional Academic
Science and Engineering Faculty,
Mathematical Sciences
Adjunct Professor
Science and Engineering Faculty,
Mathematical Sciences
Discipline *
Statistics, Other Mathematical Sciences
Phone
+61 7 3138 9817
Fax
+61 7 3138 4528
Email
Location
View location details (QUT staff and student access only)
Qualifications

PhD (University of Queensland), BSc(Hons) (University of Queensland)

Professional memberships
and associations
  • Vice-president, International Statistical Institute
  • Member, International Association of Statistical Education
  • Fellow, Royal Statistical Society
  • Honorary Life Member, Statistical Society of Australia Inc

Please click this link to download a copy of  Helen MacGillivray’s curriculum vitae which includes a full list of her publications, (PDF 328kb )

Keywords

Mathematics - liaison with schools & teachers, Statistics Statistical education

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Research theme: Information, Security

Research discipline: Mathematical Sciences

Research program: Modelling in Health, Industry, Environment & Finance

Research area

Quantitative diversity: disciplinary and cross-disciplinary mathematics and statistics support in Australian universities: This project is developing national capacity and collaboration in cross-disciplinary mathematics and statistics learning support to enhance student learning and confidence. It uses leading models with international linkage, in the identification, development, dissemination and embedding of effective practice, and is developing a national network for sharing resources, expertise and information.

The teaching and assessment of statistical thinking within and across disciplines: This project is developing strategies in statistical learning and teaching to meet the statistical learning needs of all students. It will combine research with collaboration across the national and international statistical education spectrum to develop resources, extensive real datasets with teaching notes, and links to internationally recognised good practice.

Developing, selecting and fitting generalised distributional families, with particular applications in finance: This project is developing the theory and applications of distributional shape properties, with associated measures, distributional orderings, estimating procedures and interpretations. The research analyzes distributional families used in data analysis, inference and simulation studies, and develops and applies new distributional families of interest in the financial world, particularly operational risk.

Areas of expertise

  • Statistical Education
  • Mathematical Education
  • Distributional families and applications
  • Distributional shape characteristics
  • Tertiary teaching and learning

Current grants

  • Carrick Leadership for Excellence in Learning and Teaching grant ($133,578)
  • Carrick Senior Fellowship ($330,000)

Selected research projects

  • Quantitative diversity: disciplinary and cross–disciplinary mathematics and statistics support in Australian universities
  • The teaching and assessment of statistical thinking within and across disciplines
  • Statistical reasoning at the school/tertiary interface
  • Developing, selecting and fitting generalised distributional families, with particular applications in finance
  • Statistical resources for teachers across educational levels

This information has been contributed by Adjunct Professor Helen MacGillivray.

Teaching

Teaching discipline: Mathematical Sciences

Teaching area: Statistics

This information has been contributed by Adjunct Professor Helen MacGillivray.

Publications

For publications by this staff member, visit QUT ePrints, the University's research repository.