Projects

Projects and software

Reproducible research: every project has a public repository.

Ongoing

Analytics of socioeconomic indicators for the Puno region to support evidence-based public policy decisions.

Deep learning models to anticipate frost in the Peruvian Altiplano and support early warning systems for agriculture in Puno.

Glacial lake outburst flood susceptibility across the Andes with explainable machine learning and a collaborative validation web app.

Streamflow and hydrological drought forecasting in the Altiplano with open data and a multi-station benchmark.

Systematic review and multilevel meta-analysis of 266 studies: random versus spatial cross-validation in machine-learning environmental mapping.

IoT and language models for farming decisions in the Altiplano. Published in SoftwareX (Elsevier).

Bilingual platform for verifiable AI across the scientific-literature workflow. Published in Informatica.

Verification of monthly temperature forecasts with regression, random forest and a multilayer perceptron across eleven independent series.