Mélanie MUNCH
Ingénieure de Recherche INRAE
15
Documents
Identifiants chercheurs
- melanie-munch
- 0000-0001-6704-1446
Présentation
I am interested in the interactions between expert knowledge and the learning of complex models. After a degree in agricultural engineering from AgroParisTech, I prepared my PhD on the combination of probabilistic relational models and knowledge bases, with the goal of highlighting the importance of expert knowledge integration in automatic methods for a better explainability of the learned models.
I am currently working as a post-doc on wheat quality modeling. My research focuses on the application of machine learning techniques for the modeling of complex systems. Due to my background, I have a strong interest in biology, chemistry and physics, and have skills for working with experts from multiple domains. Since 2022, I am also co-moderator of the INRAE MathNum scientific network [IN-OVIVE](https://www6.inrae.fr/reseau-in-ovive/).
Some of my works are presented in my [Git-Lab](https://gitlab.com/melanie.munch).
### Competences
Artificial intelligence and machine learning algorithms with an emphasis on model explainability
Expert knowledge integration
Causality and causal discovery
Complex system modeling
### Positions
**Jan 2023** Research Engineer. UMR STLO, PFS team, INRAE Rennes, France.
**Jan 2021 - Dec 2023** Postdoctoral fellow. I2M Team, Bordeaux University, France. *Wheat Quality Modeling*
**Oct 2020 - Dec 2021** Research engineer. UMR IATE, Ico Team, INRAE Centre Occitanie-Montpellier, France. *Eco-design of bio-composite packaging by combining probabilistic graphical models and knowledge graphs* and *Prediction of solubility of foods as a function of composition*
**Sep 2019 - Dec 2019** Visiting researcher. DISI Team, Trento University, Italy. *Learning under constraint for choice preference modeling*
### Academic Training
**2017- 2020** PhD in applied informatics. *Improving uncertain reasoning combining probabilistic relational models and expert knowledge* (AgroParisTech, France).
**2017** Master of Science: Computer Science, Intelligent Systems (Paris Dauphine University, France)
**2013-2017** Engineer Diploma (AgroParisTech, France).
### Oral Communications
**PangBorn 15** Combining Probabilistic Models With Expert Knowledge Integration For Wheat Quality Assessment
**ICEF 14** Expert knowlege integration for smart tools modeling: application to wheat use
### Teachings
Python and Database, L3 level students (AgroParisTech)
Excel VBA, M2 level students (AgroParisTech)
### Grants and Awards
**Fait Marquant INRAe - Département TRansform 2022 :** [Prediction of CO2 solubility in foods for modified atmosphere packaging](https://www.inrae.fr/actualites/rapport-recherche-innovation-du-departement-transform-2023-est-paru)
**Fait Marquant INRAe - Département TRansform 2021 :** [Modeling of bio-composite packaging by integration of data and expert knowledge ](https://www.inrae.fr/actualites/rapport-recherche-innovation-du-departement-transform-2022-est-paru)
**Best research paper:** Melanie Munch, Patrice Buche, Cristina Manfredotti, Pierre-Henri Wuillemin, Helene Angellier-Coussy. A process reverse engineering approach using Process and Observation Ontology and Probabilistic Relational Models: application to processing of bio-composites for food packaging. *15th International Conference on Metadata and Semantics Research*, Nov 2021, Madrid, Spain.
**2019 Dufrenoy Grant** from the agricultural academy for innovative science project
**EIR-A label** from the Agreenium international research center for an interdisciplinary and international opening during the PhD # Others Contributor to the [PyAgrum](https://agrum.gitlab.io/) library Printemps de la donnée (INRAE): <https://nextcloud.inrae.fr/s/MPXoktJRYDYpTLd> (french)
### Reviews
CARI2022, EGC2023, Journal of Expert Systems with Application
Domaines de recherche
Intelligence artificielle [cs.AI]
Compétences
Machine learning
Knowledge Engineering
Modeling
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Improving uncertain reasoning combining probabilistic relational models and expert knowledgeGeneral Mathematics [math.GM]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASB011⟩
Thèse
tel-03181149v1
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