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Dr Matthieu Vignes staff profile picture

Contact details +64 (06) 356 9099  ext. 84654

Dr Matthieu Vignes PhD

Senior Lecturer in Statistical Genetics

School of Fundamental Sciences

Matthieu studied Applied Maths/Stats at the ENS Lyon (France) before doing his PhD in Grenoble (2007, INRIA Rhone-Alpes, France). He then joined BioSS in Dundee and Aberdeen (Scotland) from 2006 to 2009 as a Statistician. He then became a Research Fellow in the Maths and Comput. Sc. dpt of the INRA in Toulouse (France) in 2009 (present: detached position).

Matthieu is now a Senior Lecturer in Statistical Genetics at Massey University (New Zealand).

Matthieu's work focuses on deciphering relationships between entities in a complex (e.g. biological) system; please have a look at his research interests.

Professional

Contact details

  • Ph: +64 (06) 356 9099 ext. 84654
    Location: B3.06, Science Tower B
    Campus: Turitea

Qualifications

  • Doctor of Philosophy - Joseph Fourier University (2007)

Research Expertise

Research Interests

My research is motivated by the understanding of the structure(s) which govern(s) the behaviour of complex systems. Mostly, I have been working with high-throughput data generated by biological organims, regarded layers of components of different natures which interact with each other possibly fulfilling different goals.

To this end, I am interested in probabilistic graphical modelling as a convenient way of representing the system under study and how its constituting elements interact. I am often faced with high-dimensional data posing both statistical and computational challenges. Missingness in the data sets at hand can also be a hindrance. Data sets are heterogeneous (e.g. mixing discrete and continuous data), sampling is certainly not independent and identically distributed and off-equilibrium and measurements noisy.

Recently, I am moving towards a causal interpretation of learnt relationships, hopefully revealing realistic mechanisms which explain the inner functioning of the system.

Thematics

Future Food Systems

Area of Expertise

Field of research codes
Applied Mathematics (010200):
Artificial Intelligence and Image Processing (080100):
Biological Mathematics (010202): Biostatistics (010402):
Information And Computing Sciences (080000):
Mathematical Sciences (010000):
Neural, Evolutionary and Fuzzy Computation (080108):
Numerical and Computational Mathematics (010300): Optimisation (010303):
Pattern Recognition and Data Mining (080109):
Statistical Theory (010405): Statistics (010400)

Keywords

  • Probabilistic graphical models (Bayesian networks, GGM...)
  • High-dimensional (biological) data
  • Gene network inference
  • Causality
  • Data integration
  • Computational statistics

Research Projects

Summary of Research Projects

Position Current Completed
Project Leader 1 2
Team Member 1 0

Research Outputs

Book

Thesis

Report

Other

Consultancy and Languages

Languages

  • English
    Last used: today
    Spoken ability: Excellent
    Written ability: Excellent
  • French
    Last used: today
    Spoken ability: Excellent
    Written ability: Excellent
  • German
    Last used: few years ago
    Spoken ability: Average
    Written ability: Average

Teaching and Supervision

Teaching Statement

Papers taught: (at Massey)

  • 161.331 Biostatistics (with Geoff Jones)
  • 161.705 Statistical Inference (with Mark Bebbington)
  • 161.729 Topics in Applied Statistics (with Chris Jewell)

Old teaching:

  • Statistics and learning at SupAero (with Emmanuel Rachelson) and Probability (with Jeremie Bigot) at ISAE SupAero, Toulouse, France, 2012-2014.
  • Statistics: basics to advanced subjects to undergraduates in Biology or Economics (2002-2006), to PhD students and scientists from research institutes (2007-2008).
  • General mathematics: Algebra and Analysis to undergraduates in Mathematics and Physics (2003-2005).
  • General science courses to high-school pupils (2005-2006).

Student supervision:

  • Co-supervision of Magali Champion PhD (2011-2014, Universite Paul Sabatier Toulouse 3), "Contribution to the modelling and inference of gene regulatory networks"

Courses Coordinated

Summary of Doctoral Supervision

Position Current Completed
Supervisor 1 0
Co-supervisor 2 0

Current Doctoral Supervision

Supervisor of:

  • Olivia Angelin-Bonnet - Doctor of Philosophy
    Investigation of genotype and phenotype interactions using computational statistics

Co-supervisor of:

  • Luca Panizzi - Doctor of Philosophy
    Biomarker profiling of biologic fluids and tissues from horses with induced carpal osteoarthritis

Media and Links

Other Links

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