David Kraus

Curriculum Vitæ

Date and place of birth: 31 October 1979, Jihlava, Czechia
Nationality: Czech
Education and qualifications: 2003–2008: Ph.D. in Probability and Mathematical Statistics, Charles University in Prague, Department of Statistics; thesis title: Neyman's smooth tests in survival analysis; advisor: Petr Volf (Institute of Information Theory and Automation, Prague)

1998–2003: Mgr. (MSc. equivalent) in Mathematical Statistics (Charles Univ, Dept of Stats)

Current position: Postdoctoral researcher, Ecole polytechnique fédérale de Lausanne (EPFL), Institut de mathématiques (IMA), Chaire de statistique mathématique (SMAT)
Previous experience: 2005–2008: Research Assistant, Institute of Information Theory and Automation, Prague (Academy of Sciences of the Czech Republic)

2004–2008: Teaching Assistant, Charles University in Prague, Faculty of Mathematics and Physics, Department of Statistics

2003–2008: PhD student in Probability and Mathematical Statistics, Charles University in Prague, Department of Statistics

Domains of research interest: Counting processes, survival and event history analysis, marked point processes

Functional data analysis

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