My team

Diego Quintero Puentes (2025-). Area: Causal Machine Learning for sustainable smallholder farming in Africa
Vishal Nedungadi (2024-). Area: Machine and transfer learning under distribution shifts for agricultural applications and food security
Jetske Bonenkamp (2024-). Area: Artificial Intelligence for tracking the politics of climate change adaption
George Marinos (2023-). Area: Enhancing agri-food systems through Artificial Intelligence: Utilizing food safety-related data for intelligent decision-making and risk management
Eva van Tegelen (2023-). Area: Model-based Machine Learning methodologies for identifying and quantifying resilience and tipping points in complex systems.
Yingjie Shao (2023-). Area: Machine learning for the longitudinal analysis of plant phenotypes.
Aike Potze (2023-). Area: Hybrid artificial intelligence for modelling genotype by environment interactions.
Hilmy Baja (2022-). Area: Artificial Intelligence for reducing fertilizer and pesticide use.
Ron van Bree (2022-). Area: Hybrid AI for food security.
Remy Adriaensen (2022-). Area: Next generation models for predicting canola hybrid seed yield performance in untested environments.
Ilias Tsoumas (2022-). Area: Artificial intelligence towards sustainable agriculture using space-borne remote sensing data & other heterogeneous data sources.
Rassoul Sy (2022-). Area: The transformation of agricultural production: impacts on rural livelihoods across sub-Saharan Africa

: Primary supervisor

Rob Knapen (2021-2025). Thesis: Geospatial data engineering for digital agriculture, currently with Wageningen Environmental Research.
Christos Pylianidis (2019-2023). Thesis: Operationalizing digital twins digital twins in agriculture with machine learning, then with ING.
Dilli Paudel (2019-2023). Thesis: Machine learning for regional crop yield forecasting, then with Alpen Labs.
Eliana Papoutsoglou (2021). Thesis: Paving the way for FAIR data in plant phenotyping, then with Taxonic.
Argyris Samourkasidis (2019). Thesis: Environmental timeseries lifecycle in the Internet of Things era: Lowering e-science barriers, then with ING.
Dimitris Kremmydas, (Agricultural Univ. of Athens, 2018). Thesis: Integrated mathematical programming and agent based model for policy analysis of Greek agriculture , then with EU Joint Research Centre.

Joao Paulo Breda (2023-2024), Input features importance to hydrological indices simulated by land surface models, then postdoc with Instituto de Pesquisas Hidráulicas, UFRGS.
Diego Marcos (2019-2021), Explainable AI for nature conservation, then Junior Professor at INRIA.
Hiske Overweg (2020-2021), Reinforcement learning in Digital Future Farm, then data scientist at i2i
Dirkjan Schokker (2018-2021), Breed4Food project, then researcher with Wageningen Bioveterinary Research
Dan Jensen (2017), Big data for cow disease prediction project, then Assist. Prof. at Copenhagen University.