Research
Research lines
Four lines of work with a shared horizon: producing computational knowledge that serves the Altiplano and its communities.
L1
Natural Language Processing
Text analysis, language models, chatbots and text mining applied to Spanish and to the native languages of the Altiplano: Quechua and Aymara.
L2
High Performance Computing
Design and implementation of parallel and distributed algorithms, cluster usage and GPU computing to solve complex computational problems.
Publications in this line
- 2026Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer DatasetAccepted · in press
- 2026Physics-Informed Ensemble Learning for Exoplanet Transit Detection: Combining Box Least Squares, Attention-Based CNNs, and Gradient BoostingAccepted · in press
- 2025Comparative Analysis of Statistical, Machine Learning, and Deep Learning Approaches for Frost Prediction in the Peruvian AltiplanoPublished
L3
Causal Inference Models
Statistical and probabilistic models to identify causal relationships in observational data, applied to health, education and public policy.
L4
Data Science and Analytics for Sustainability
Machine learning, visualization and data analysis to address environmental, social and economic problems of the Puno region and the Altiplano.