I am a Full Professor of Stochastic Modelling in the Department of Mathematics at the University of Luxembourg. I work mainly in probability theory, but in my research I am also interested in questions from statistics, geometry, functional analysis, non-commutative algebra, combinatorics, or computer science. More information on my Research page. Since 2020, I have been Associate Editor for Annals of Applied Probability.
Since 2020, I have been Associate Editor for Collectanea Mathematica.
Since 2016, I have been Associate Editor for Bernoulli.
2018-...: Course director of the Bachelor in Mathematics, University of Luxembourg2015: Winner of the 2015 FNR award for outstanding publication (jointly with Giovanni Peccati)2014-...: Full Professor of Stochastic Modelling, University of Luxembourg
2013: Winner of the 2013 France Scopus Researcher Award in the field of Mathematics2011: Winner of the 2011 Prize of the Fondation des
Sciences Mathématiques de Paris
2010-2014: Full Professor (Professeur des Universités), Université de Lorraine2005-2010: Associate Professor (Maître de conférences), Université Pierre et Marie Curie (Paris 6)2004-2005: Instructor (A.T.E.R.), École des Mines de Nancy2001-2004: PhD student (supervised by Pierre Vallois), Université Nancy 11999-2001: Student at École Normale Supérieure de Cachan and Agrégation de Mathématiques (ranked 18th)1978: born in Épinal (France)My research group at the University of LuxembourgTo date, apart from me, my research group is composed of:
- Valentin Garino (PhD student)
- Arturo Jaramillo (Post-doc shared with Louis Chen, Giovanni Peccati and Adrian Röllin)
- George Kerchev (Post-doc) - Leonardo Maini (PhD student), will start in Sept 2020 - Fei Pu (Post-doc)
- Xiaochuan Yang (Post-doc shared with Louis Chen, Giovanni Peccati and Adrian Röllin)
Former members include:
- Federico Dalmao (Post-doc)
- Shane Lubold (Fulbright Scholar)
- Diu Tran (PhD student)
- Guangqu Zheng (PhD student)
## How to reach me?- Postal and physical address:
- Email: ivan.nourdin@uni.lu - Phone: (+352) 46 66 44 6380 |