Since October 2018, I am pursuing a PhD thesis under the supervision of François Fages (Inria Saclay - Lifeware Team) and Annabelle Ballesta (INSERM Villejuif - U935).

Research interests

I am working during my PhD on the design of statistical models to predict the optimal time for drug delivery in the context of cancer chronotherapy, with an emphasis on the tradeoff between predictive power and interpretability.

Also keen on Probability theory.

Formation

I graduated with the master degree M2MO - Random Modelling with a focus on Statistics.

Research internships:

  • 2018 · Lifeware Team - Inria Saclay : Unsupervised Learning of reaction networks, under the supervision of François Fages
  • 2017 · MAP5 - Université Paris Descartes : Random matrix theory : Graph Spectra and Detectability of Community Structure in Networks, under the supervision of Manon Defosseux

CV (French)

Teaching

  • 2019-2021 : Teaching Assistant • 2nd year BSC • Université de Paris
Real Analysis (42h)
Multivariate functions (18h)
  • 2018-2019 : Teaching Assistant • 1st year BSC • Université de Paris
Mathematics and Calculus course (60h)

Publications

Julien Martinelli, Jeremy Grignard, Sylvain Soliman, François Fages. On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics. In CMSB'19: Proceedings of the seventeenth international conference on Computational Methods in Systems Biology, volume 11773 of LNCS. Springer-Verlag, 2019. [ preprint ]

Julien Martinelli, Jeremy Grignard, Sylvain Soliman, François Fages. A Statistical Unsupervised Learning Algorithm for Inferring Reaction Networks from Time Series Data. In ICML Workshop on Computational Biology, 2019. [ preprint ]

Talks

  • December 19th 2018 • Paris • Journée Bioss IA • Unsupervised learning of chemical reaction networks from time series data slides
  • May 27th 2019 • Orléans • Journée Bioss IA • A statistical learning algorithm for inferring reaction systems from time series data slides

Poster Session

  • June 24th 2019 • Porquerolles • Ecole d'été Bioregul • A statistical learning algorithm for inferring reaction systems from time series data poster

Contact

E-mail : firstname.lastname(at)inria.fr

Office 1123, Building Alan Turing
1 rue Honoré d'Estienne d'Orves
Campus de l'École Polytechnique
91120 Palaiseau - France