Engineering and Information Sciences

People

Thomas Suesse



Current Positions:

Research fellow at the Centre for Statistical and Survey Methodology (CSSM) at the University of Wollongong.

Biography:

Thomas Suesse has completed his M.Sc. (Dipl.-Math.) degree in mathematics at the Friedrich-Schiller-University (FSU) of Jena, Germany, in 2003. His thesis focused on multiple and global testing procedures. From 2003-2005, he worked as a research fellow at the Institute of Medical Statistics, Informatics and Documentation (IMSID), also FSU. His work focused on modelling of thalamic brain activity by forced and coupled relaxation oscillators.

In 2005 he went to Victoria University of Wellington (VUW), New Zealand, to start his PhD study under supervision of Dr Ivy Liu. In 2008 he finished his PhD in Statistics entitled "Analysis and Diagnostics of Categorical Variables with Multiple Outcomes". After a short stay at the University of NSW, where he worked as a postdoctoral research fellow on the statistical methodology for the validation of surrogate biomarkers, in 2009 he started working as a research fellow at the Centre for Statistical and Survey Methodology (CSSM) at the University of Wollongong, mainly working on the modelling of social networks and investigating its use for survey methodology.

Research Interests:

Categorical Data Analysis; Survey Methodology; Social Networks.

Professional Activities:

Member of the Statistical Society of Australia

Awards:

2008 VUW PhD thesis submission award (5000$ NZ)
2005-2008 VUW Postgraduate Scholarship (20000$ NZ per annum plus tuition fees), tenure 3 years

Future Research Topics:

Smooth tests.

Research Students

  • Rajib Dutta : Modelling and Prediction of Valued Social Networks with Semicontinuous Relationship Values
  • Luke Mazur : Computational Methods for the Analysis of 'Big Data' - Linear Mixed Model With Application to Genomics