Staff

Ronan Le Gleut
Statistical Consultant

Phone: +49 89 3187-3494
E-mail
Building/Room: 58a / 110

 

Curriculum Vitae

Positions:

Since 08/2018Statistical Consultant in the Core Facility Statistical Consulting at the Institute of Computational BiologyHelmholtz Zentrum Munich, Germany
09/2015-072018Expert in methodology for the sampling of business surveys at the Methodology, Statistical Coordination and International Relations Directorate,  National Institute of Statistics and Economic Studies, France
03/2013-08/2015Expert in methodology for local estimation of employment and unemployment at the Demographic and Social Statistics Directorate,  National Institute of Statistics and Economic Studies, France

Education:

2010-2013Master of Science in Statistics and Econometrics, National School for Statistics and Information Analysis, France 
2008-2010 Bachelor of Science in Mathematics, Informatics and Statistics, Université de Bretagne Sud Vannes, France


Publications

  • J. Philipp, R. Le Gleut, C. von Toerne, P. Subedi, O. Azimzadeh, M. J. Atkinson, S. Tapio (2020). Radiation response of human cardiac endothelial cells reveals a central role of the cGAS-STING pathway in the development of inflammation. Proteomes. DOI:10.3390/proteomes8040030
  • G. Chauvet, R. Le Gleut (2020). Inference under pivotal sampling: properties, variance estimation and application to tesselation for spatial sampling. Scandinavian Journal of Statistics. DOI:10.1111/sjos.12441
  • C. Favre-Martinoz, M. Fontaine, R. Le Gleut, V. Loonis (2018). Spatial sampling. Handbook of Spatial Analysis. Eurostat. 
  • M.-P- de Bellefon, R. Le Gleut, V. Loonis (2018). Codifying the neighbourhood structure. Handbook of Spatial Analysis. Eurostat. 
  • E. Gros, R. Le Gleut (2018). Sample coordination and response burden for business surveys: Methodology and practice of the procedure implemented at Insee. The Unit Problem and Other Current Topics in Business Survey Methodology. Cambridge Scholars Publishing.
  • E. Gros, R. Le Gleut (2018). The impact of profiling on sampling: How to optimize sample design when statistical units differ from data collection units. The Unit Problem and Other Current Topics in Business Survey Methodology. Cambridge Scholars Publishing.