Victor-Emmanuel Brunel
ENSAE/CREST, Department of Statistics
Email : victor.emmanuel.brunel AT ensae DOT fr



Parametric and Nonparametric Estimation, Machine Learning Theory, Convex Set Estimation, Convex Analysis and Geometry, Probability Theory, Stochastic Geometry.


Since 2018 : Assistant Professor in Statistics, ENSAE/CREST.

2015 – 2018 : Applied Mathematics Instructor, Department of Mathematics, MIT.

2014 – 2015 : Visiting scholar at the Cowles Foundation for Research in Economics, Yale University.

2011 – 2014 : Coordinator of mathematical teachings, ENSAE ParisTech.

2012 – 2013 : Teacher in mathematical statistics and in mathematics (analysis, linear and quadratic algebra) for the preparation to the INSEE (French National Institute for Statistics and Economics Studies) competitive examination, INSEE.


2010 – 2014 : PhD in Mathematical Statistics, under the supervision of A. Tsybakov (CREST, Paris, France) and A. Goldenshluger (University of Haifa, Israel).

2009 Р2010 : MS in Probability Theory and Stochastic Modeling, Université Pierre et Marie Curie (Paris 6), Diploma awarded in 2010 with highest honour.

2009 – 2010 : ENSAE ParisTech, Spec. Statistical Engineering, Diploma awarded in 2010.

April – July 2009 : Research Internship under the supervision of Alexander Goldenshluger, Non-parametric Estimation and Aggregation of Estimators, University of Haifa, Israel.

2006 Р2009 : Ecole Polytechnique, Diploma awarded in 2010.


  • French : mother tongue
  • English : fluent
  • Russian : fluent, spoken and written
  • Hebrew : good skills, spoken and written
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