Aymeric Blot – PhD student at Université de LilleEx- civil

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Aymeric Blot – PhD student at Université de LilleEx- civil
Aymeric Blot
PhD student at Université de Lille
Ex- civil servant student at ENS Rennes
Í
B [email protected]
http://perso.eleves.ens-rennes.fr/~ablot481/
Born on December 14th, 1991
Education
2015 M.Sc. in Computer Science, École Normale Supérieure de Rennes, Rennes, cum laude.
Last year spent in University of British Columbia (Vancouver BC, Canada)
2014 M.Sc. in Computer Science, Université de Rennes, Rennes, cum laude (20th/44).
2012 B.Sc. in Computer Science, École Normale Supérieure de Cachan – Antenne de Bretagne, Rennes,
magna cum laude.
2009–2011 MPSI-MP*, Lycée Blaise Pascal, Orsay.
Two year intensive course preparing for the competitive entrance examinations to the French Grandes Écoles
2009 Baccalauréat Scientifique, Lycée Blaise Pascal, Orsay, cum laude.
Experience
2015-2018 PhD student, Université de Lille – CRIStAL – INRIA Lille-Nord Europe, Lille, France.
PhD on multi-objective autonomous systems, DOLPHIN team-project
2014-2015 Trainee, University of British Columbia, Vancouver BC, Canada.
10 month intenship under Prof. Holger Hoos supervision, on automatic algorithm configuration in single- and
multi-objective
2014 Trainee, INRIA Lille-Nord Europe, Lille, France.
6 month internship in the Dolphin research group, on multi-objective local searches algorithms and fitness
landscapes analysis
2013 Trainee, Shinshu University, Nagano, Japan.
16 week internship under Prof. Hernán Aguirre supervision, on multi-objective local searches algorithms
2012 Trainee, INRIA Lille-Nord Europe, Lille, France.
6 week internship in the Dolphin research group, on single-objective fitness landscapes analysis
Publications
A. Blot, H. Aguirre, C. Dhaenens, L. Jourdan, M.-É. Marmion, and K. Tanaka. Neutral but a
winner! How neutrality helps multiobjective local search algorithms. In Evolutionary Multi-Criterion
Optimization (EMO), 2015.
M.-É. Marmion, A. Blot, L. Jourdan, and C. Dhaenens. Neutrality in the graph coloring problem. In
Learning and Intelligent OptimizatioN Conference (LION7), 2013.
Computer skills
Languages OCaml, Ruby, Unix Shell, C, C++, Java, R, Python, Lisp
Environnement GNU/Linux (archlinux)
Misc. emacs, LATEX, beamer, make
Languages
French
English
German
Japanese
Native speaker
Fluent
Proficient
Notions
Interests
Sport Tennis, badminton
Music Piano
Misc. Reading, tabletop games
TOEIC 2012 score: 985/990
High school level
Beginner