Our team uses advanced modeling and data science techniques, including machine learning and geo-informatics, to predict health outcomes in real-world scenarios. We apply counterfactual analyses to assess the implications of climate change and environmental degradation on health.

To enrich our research, we leverage citizen science initiatives to generate novel data streams and design field studies that facilitate integrated data collection across various spatial and temporal scales.

Furthermore, we emphasize the co-design and evaluation of interventions that promote health, foster healthy ecosystems, and support sustainable environments. Assessing the economic outcomes of these interventions is also a key component of our work.