Current position

Director of research (DR1)

Unit 518 MIA Paris-Saclay
University Paris-Saclay, campus AgroParisTech INRAE
Palaiseau 91120 France

Email : david.makowski@inrae.fr or david.makowski@universite-paris-saclay.fr 

Recent publications in 2022

• Warming reduces global agricultural production by decreasing crop frequency and yields. 2022. Nature climate change. https://doi.org/10.1038/s41558-022-01492-5  
• Research priorities for global food security under extreme events. 2022. One earth 5, 756-766. https://doi.org/10.1016/j.oneear.2022.06.008
• Data-driven projections suggest large opportunities to improve Europe's  soybean self-sufficiency under climate change. 2022. Nature Food. https://doi.org/10.1038/s43016-022-00481-3 
• The critical benefits of snowpack insulation and snowmelt for winter wheat productivity. 2022. Nature Climate Change. https://doi.org/10.1038/s41558-022-01327-3 
• Atmospheric dryness reduces photosynthesis along a large range of soil water deficits. 2022. Nature communications  13, 989. https://doi.org/10.1038/s41467-022-28652-7 
• A global dataset for the projected impacts of climate change on four major crops. 2022. Scientific data 9, 58. https://doi.org/10.1038/s41597-022-01150-7 
• Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems. 2022. Global Change Biology 28, 2111-2123. https://doi.org/10.1111/gcb.16050  

Full list of publications accessible here:

• https://scholar.google.fr/citations?hl=en&user=vcnWi7IAAAAJ&view_op=list_works&sortby=pubdate 
• https://www.researchgate.net/profile/David-Makowski/publications

Students and junior researchers supervised in 2022

• Armand Favrot (MSc, engineer): Bayesian statistical modelling in agriculture
• Siyad Oulhaj (MSc student): Analysis of the risk of early Spring frost and its evolution under climate change
• Olivier Gauriau (PhD student): Interpretable machine learning tools (in collaboration with INRIA, Univ. Rennes and ACTA)
• Florian Teste (PhD student): Impact of production shocks on prices of agricultural commodities
• Josefina Lacasa (visiting PhD student from Kansas State University): Data synthesis for N fertilization management

Research

My main interests are in statistical/machine learning modelling applied to agroecology, climate change, and food safety. I manage scientific projects and support research groups in analyzing complex datasets using statistical and machine learning methods.

Methods

• Meta-analysis
• Mixed-models
• Machine learning
• Forecasting
• Dynamic models
• Bayesian statistics

Fields of application

• Climate change impact and adaptation
• Agroecology
• Food security and food safety
• Environmental risk assessment
• Decision support tools for crop management (crop protection, fertilization)

Teaching in graduate schools

• Generalized linear models and Mixed-models applied to agroecology
• Meta-analysis and analysis of networks of experiments
• Uncertainty and Sensitivity analysis with complex crop and environmental models
• Time series and Machine learning

Check my lectures on GitHub:

https://github.com/davemakowski?tab=repositories

Consultancy

I support research groups and public organisations in analyzing their datasets:

• Analysis of experiments to address scientific and societal questions on climate change and agroecology,
• Risk analysis (food safety, environmental risk, climate change),
• Development of classification and forecasting tools,
• Support in conducting meta-analysis.

Education

• HDR (equivalent to DSc) University Paris-Sud (University Paris-Saclay), France, 2007
• PhD INA PG (AgroParisTech-University Paris-Saclay), Paris, France, 2001
• MSc and Engineer INA PG (AgroParisTech-University Paris-Saclay), Paris, France, 1996

Books in english and special issues

• From Experimental Network to Meta-analysis. Methods and Applications with R for Agronomic and Environmental Sciences. Springer. https://www.springer.com/gp/book/9789402416954
• Working with Dynamic Crop Models (3rd edition). Methods, Tools and Examples for Agriculture and Environment. Elsevier. https://www.elsevier.com/books/working-with-dynamic-crop-models/wallach/978-0-12-811756-9
• Environmental Impact of Land Use Change in Agricultural Systems. Sustainable Agriculture Reviews 30. Springer. https://www.springer.com/gp/book/9783319962887
• Special issue in European journal of Agronomy: Evidence synthesis in agronomy. https://www.sciencedirect.com/journal/european-journal-of-agronomy/special-issue/10CLKSSZSF5
• Special issue in Journal of Environmental Management: Multifunctional agriculture - From farm diagnosis to farm design and institutional innovation. https://www.sciencedirect.com/journal/journal-of-environmental-management/vol/90/suppl/S2

Books in French

• Data science pour l’agriculture et l’environnement - Méthodes et applications avec R et Python. Editions Ellipses. https://www.editions-ellipses.fr/
• De l’analyse des réseaux expérimentaux à la méta-analyse. Quae. https://www.quae.com/produit/1514/9782759228164/de-l-analyse-des-reseaux-experimentaux-a-la-meta-analyse
• Initiation à la statistique bayésienne - Bases théoriques et applications en alimentation, environnement, épidémiologie et génétique. Editions Ellipses. https://www.editions-ellipses.fr/
• Analyse statistique des risques agro-environnementaux. Springer. https://link.springer.com/book/10.1007/978-2-8178-0251-0
• Analyse de sensibilité et exploration de modèles. Quae. https://www.quae.com/produit/1179/9782759219070/analyse-de-sensibilite-et-exploration-de-modeles