Research
Assistant Professor, Computer Science and Statistics, 2016-present
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Research subjects:
- Adaptation of deep learning methods in statistical models for graphs (with Gabriel Fisch, PhD student).
- Modelling highly missing data with missing-not-at-random processes, and inference (with Gabriel Frish, PhD student co-supervized with Yves Grandvalet).
- Modelling recommendation graphs with randoms models, inference, and prediction for recommendation systems (with Gabriel Fisch, PhD student).
- Modelling and prediction of variable for a ecophysiological model of maize crop (continuation of post-doc, with Estelle Kuhn, INRA).
- Statistical point of view for integrity in localization (connected with the autonomeous vehicle reasearch in the lab, with Philippe Xu).
- Statistics models for crop grow models. (in the project Stat4Plant).
Post-doc, Statistics, 2015-2016
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Subject: Modelling and prediction of variable for a ecophysiological model of maize crop.
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Lab:
- MaIAGE. UR 1404 INRA, Jouy-en-Josas, France.
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Founded by AMAIZING project.
Post-doc, Statistics applied in Ecology, 2013-2015
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Subject: Networks applied in Ecology and Genomics
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Objectives: Develop models on genomics networks for linking the structure to ecological properties
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Labs:
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BioGeCo, France, for the applicative part,
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Department of Statistics, PennState, United States, for the theoretical part.
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With:
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Founded by INRA (CJS)
PhD, Statistics applied in Ecology, 2010-2014
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Subject: Modelling the topology of ecological bipartite networks with statistical models for heterogeneous random graphs
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Objectives:
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Compare clustering methods on bipartite ecological network context
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Use covariates on clustering methods
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Quantify external factor to explain the structure of two ecological networks
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Labs:
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Primary lab: UMR 518 MIA, Paris, France, for the theoretical part
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Secondary lab: BioGeCo, France, for the application part
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Advisors: