Research
This is a compact portfolio of projects around crop simulation, climate services, remote sensing, and environmental data analysis.
Climate-resilient farming systems
PhD research · Crop simulation and agricultural adaptation
This is the work I keep coming back to: how to make crop models and climate information useful for actual agricultural decisions, not just for reports.
I use DSSAT, APSIM, STICS, seasonal forecasts, and environmental datasets to ask practical questions about risk, timing, and adaptation in farming systems under climate variability.
What interests me most is the translation problem: taking technical modelling work and turning it into something a farmer, advisor, or planner could plausibly use.
Remote sensing for crop and disease monitoring
Visiting research · Field observations, phenology, and crop modelling
During my stay at Aarhus University, I worked on field campaigns, agronomic measurements, chlorophyll observations, leaf area index, biomass, soil sampling, and the work of making these pieces talk to each other.
One part I especially liked was linking phenology and remote-sensing data with crop models for wheat growth and disease monitoring, including yellow rust, powdery mildew, and Septoria.
This project sits at the boundary between field evidence, model calibration, and decision support.
Wheat adaptation under climate change
Research internship · Downscaling climate projections and testing adaptation options
At the CASSANDRA Lab in Milan, I worked on wheat under climate change across different countries, with a focus on what adaptation looks like once broad statements become concrete data questions.
That meant working with historical weather records, future climate datasets in R, and stochastic weather generation for downscaled scenario analysis.
The project strengthened my interest in connecting climate-data work to agricultural choices rather than treating projections as an end in themselves.