English - Université de Montpellier

Julien Stoehr
Curriculum Vitae
UCD School of Mathematics and Statistics
O’Brien Science Centre
Insight Centre for Data Analytics
University College Dublin
Belfield, Dublin 4, Ireland
H +33 (0)6 79 21 04 93
+353 (0)8 94 83 20 22
B [email protected]
Í www.math.univ-montp2.fr/~stoehr
Birth date: 7th December 1987
Nationality: French
Positions
2015 – . . . Postdoctoral fellow, at School of Mathematics and Statistics & Insight Centre for Data Analytics,
University College Dublin, under the supervision of Nial Friel.
Education
2012 – 2015 Ph.D. in Biostatistics, at Institut Montpelliérain Alexander Grothendieck (IMAG), université
de Montpellier, under the supervision of Jean-Michel Marin (doctoral supervisor), Pierre Pudlo
and Lionel Cucala, Bayesian inference on hidden Markov random fields.
2011 – 2012 Master 2 Mathématiques et applications, (Master of Science in Mathematics and Applications), Université de Rennes 1.
2008 – 2011 École Normale Supérieure de Cachan - Antenne de Bretagne, (publicly funded higher
education in France).
{ French civil servant admitted after a national competitive exam.
{ Licence 3 Mathématiques (Bachelor of Science in Mathematics), université de Rennes 1. Master
1 Mathématiques et applications (first year of Master of Science in Mathematics and applications),
université de Rennes 1. Master 2 Formation d’enseignants pour le supérieur (Master of Science in
Mathematics teaching). Magistère de Mathématiques de Ker Lann (Master of Science in Mathematics),
École Normale Supérieure de Cachan - Antenne de Bretagne.
{ agrégation externe de Mathématiques (rank 185/288), civil service competitive examination for positions
in the public education system.
2005 – 2008 Classes préparatoires aux Grandes Écoles, (French post-secondary school to enroll higher
education establishments), Lycée Kléber , Strasbourg..
Major: Physics and Science Engineering.
june 2005 Baccalauréat, (A Levels in Mathematics and Sciences with distinction), Lycée Bartholdi, Colmar.
Academic training
February Invited researcher, advisor: Nial Friel, School of Mathematical Sciences, University College
2014 Dublin.
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields.
March Academic training of M.Sc, Université Montpellier 2, supervised by Pierre Pudlo.
to July 2012 Curse of dimensionality in model choice with the Approximate Bayesian method.
May Academic training of Master 1, INSA Toulouse et Institut Mathématiques de Toulouse,
to July 2010 supervised by Philippe Besse and Sébastien Déjean.
Proteomics and missing data. A joint work with the computer scientist and the biologist from Institut de
Pharmacologie et de Biologie Structurale in Toulouse.
June 2009 Academic training of B.Sc, Institut de Recherche Mathématique Avancée, UMR 7501, supervised by Eric Sonnendrücker.
Numerical schemes for advection equations.
Research interests
Bayesian statistics • computational statistics • hidden Markov random fields • model selection
• Approximate Bayesian Computation (ABC, likelihood-free methods) • composite likelihood •
Markov chain Monte Carlo • Bayesian Information Criterion.
Teaching
2014 – 2015 Data Processing, Université de Montpellier, tutorial and practical classes (60 hours) for second
year Bachelor in Geosciences and Biology.
2013 – 2014 Inferential Statistics, Université Montpellier 2, tutorial classes (45 hours) for B.Sc students in
Mathematics applied to Social Sciences.
2012 – 2014 Data Processing, Université Montpellier 2, tutorial and practical classes (30 hours per annum)
for B.Sc. students in Geosciences and Biology.
2012 – 2013 Basic concepts in Computer Science, Université Montpellier 2, first year Bachelor practical
classes (31.5 hours).
Scientific diffusion
2014 An introduction to research activities for High School students, lycée Alphonse Daudet, Nîmes.
2012 Guide at the exhibition Pourquoi les mathématiques ?, médiathèque E. Zola, Montpellier.
Other scientific activities
Reviews
2016 Reviewer for the 19th International Conference on Artificial Intelligence and Statistics (AISTATS
2016).
2015 Reviewer for Journal of Statistical Theory and Practice.
Organization of scientific events
2016 Co-organizer of the meeting Conférenciers invités et doctorants & jeunes docteurs, sponsored by
the group Jeunes of the French Statistics Society (SFdS), for the 48ème Journées de la Statistique.
2015 Co-organizer of the annual meeting of Ph.D. students of IMAG (Mathematic Department of
Université de Montpellier).
2014 – 2015 Co-organizer of the seminar for the Ph.D. students of Institut Montpelliérain Alexander
Grothendieck.
Special skills
Programming languages
C++, R, LATEX. Knowledge in Maple, Scilab.
Foreign languages
English Fluent written and spoken, (TOEIC with more than 780 points).
Publications
Articles
[A3] J. Stoehr, J.-M. Marin and P. Pudlo, Hidden Gibbs random fields model selection using Block
Likelihood Information Criterion. Stat, vol. 5, pp. 158–172.
[A2] J. Stoehr and N. Friel (2015), Calibration of conditional composite likelihood for Bayesian inference
on Gibbs random fields. AISTATS, Journal of Machine Learning Research: W&CP, vol. 38, pp.
921–929.
[A1] J. Stoehr, P. Pudlo and L. Cucala (2015) Adaptive ABC model choice and geometric summary
statistics for hidden Gibbs random fields. Statistics and Computing, vol. 25, issue 1, pp. 129–141.
Scientific oral communications
International events
[Ci2] Invited speaker, ABCruise, Helsinki, mai 2016.
[Ci1] Invited speaker, 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), Londres, décembre 2015.
[P3] Poster presentation, the 18th International Conference on Artificial Intelligence and Statistics
(AISTATS), San Diego, mai 2015.
[P2] Poster presentation, MCMSki IV, Chamonix, janvier 2014.
[P1] Poster presentation, ABC in Rome, mai 2013.
French events
[Cn2] J. Stoehr, J.-M. Marin, P. Pudlo (2015). Critères de choix de modèle pour champs de Gibbs cachés.
47ème Journées de Statistique de la SFdS (Lille).
[Cn1] J. Stoehr, P. Pudlo and L. Cucala (2014). Statistiques résumées géométriques pour le choix
de modèle ABC entre des champs de Gibbs cachés. 46ème Journées de Statistique de la SFdS
(Rennes).
Other talks
[C9]
[C8]
[C7]
[C6]
[C5]
[C4]
[C3]
[C2]
[C1]
Working Group on Statistical Learning, University College Dublin, Dublin, novembre 2015.
Seminar Modal, INRIA, Lille, june 2015.
Journée du réseau AIGM, Grenoble, june 2015.
Seminar, Avignon, december 2014.
Seminar, Université Montpellier 2, november 2014.
Workshop for Ph.D. students, Université de Rennes 1, october 2014.
Seminar, Université Montpellier 2, january 2014.
Seminar for Ph.D. students, Université Montpellier 2, october 2013.
Seminar for Ph.D. students, Université Montpellier 2, january 2013.