Dr. Pierre Lafaye De Micheaux

Associate Professor

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Biography

Associate Professor of Data Science at the University of New South Wales since 2020, Pierre Lafaye de Micheaux specializes in statistics with extensive experience in various academic roles, including Senior Lecturer in Statistics at UNSW (2017-2019) and Professor of Statistics at ENSAI (2015-2017). His past affiliations include Associate Professor at Université de Montréal and Assistant Professor positions at Université de Montréal and Grenoble Alps University. His research focuses on developing statistical tools for community use, specifically in dependence measures and the analysis of big data, including Internet of Things applications. He is actively involved in neuroimaging genetics, aiming to devise new statistical methods that connect with neuroscientists to address complex problems. Lafaye de Micheaux has been successful in acquiring research grants and supervising graduate students in their statistical projects. He teaches various courses related to statistical inference, data science, and applied regression analysis at UNSW.

Research Interests

Experience

Associate Professor

2020-01-01 — Present

University of New South Wales • Sydney, Australia

Teaching and conducting research in statistics and data science.

Senior Lecturer

2017-01-01 — 2019-01-01

University of New South Wales • Sydney, Australia

Provided instruction in advanced statistical methodologies.

Professor

2015-01-01 — 2017-01-01

ENSAI, French National School of Statistics and Information Analysis • France

Led statistical research and education initiatives.

Associate Professor

2011-01-01 — 2016-01-01

Université de Montréal • Canada

Conducted research and taught statistics courses.

Assistant Professor

2009-01-01 — 2011-01-01

Université de Montréal • Canada

Engaged in teaching and research in statistical science.

Assistant Professor

2003-01-01 — Present

Grenoble Alps University • France

Involved in teaching and research in applied mathematics.

Awards

#

Provost Honor List

2003-01-01

Courses

Statistical Inference Data Sciences & Decisions Statistical Modelling Computing Statistics for Life and Social Science Applied Regression Analysis Data Science Introductory Statistics Linear Regression

Requirements for University of New South Wales

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.