LaCimaFINESI · UNAP

Raising knowledge from the Altiplano

Laboratory of Computing Research, Methodology and Analytics

Faculty of Statistical and Computer Engineering, Universidad Nacional del Altiplano, Puno, Peru. We apply artificial intelligence, data science and high-performance computing to real problems of the Altiplano and the world.

Explore our research linesApply to the lab
indexed papers
5
indexed papers
RENACYT researchers
4
RENACYT researchers
approved by the Faculty Council
2026
approved by the Faculty Council
  • Scientific computing
  • Artificial intelligence
  • Data science
  • Systems development

Latest

Lab news

All news
Recognition 13 October 2026Dina Maribel Yana Yucra becomes a RENACYT level VII researcherWe congratulate Dina Maribel Yana Yucra, a Statistical and Computer Engineering student and member of LaCima, on qualifying as a RENACYT Level VII Researcher on the strength of her scientific articles. The recognition highlights her contribution to data science, artificial intelligence and environmental applications, and shows the scientific potential of our undergraduate students.Read more

Research lines

Four lines, one territory

Each line starts from a problem in the Altiplano and turns it into a scientific question that is published, shared as open source and brought back to the region.

Explore research
L1Natural Language ProcessingLanguage models, text mining and verifiable information retrieval, with a focus on the native languages of the Altiplano: Quechua and Aymara.Language modelsVerifiable RAGQuechua and Aymara
L2High-Performance ComputingParallel and distributed algorithms, clusters and GPU computing for problems that do not fit on a laptop.GPU computingParallelismSimulation
L3Causal Inference ModelsStatistical and probabilistic models to identify causal relationships in observational data from health, education and public policy.Observational dataMixed modelsPublic policy
L4Analytics and Data Science for SustainabilityMachine learning and visualisation for the environmental, social and economic problems of the Altiplano: frost, drought, glaciers and agriculture.Climate forecastingRemote sensingAndean agriculture

Scientific output

Recent publications

All publications
Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer Dataset
SJR
2026·Slovenian Society InformatikaL2

Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer Dataset

7.3 million jobs from NREL's Eagle supercomputer: users need a median of only 6.7% of the time they request, and machine-learning-adjusted limits save 64.8% of energy, about 7.25 million kWh a year.

Renato Quispe-Vargas, Dina Maribel Yana-Yucra, Richar Andre Vilca-Solorzano, Vladimiro Ibañez-Quispe, Fred Torres-Cruz

Informatica
Scopus
DOI

Quality

Research held to quality standards

Admission is by evaluation and authorship of every paper follows international academic criteria, as our internal regulations require. We measure the lab by what it publishes and by what it leaves open for others.

  • ScopusWeb of Science

    5papers

    Indexed journals

    Springer, Elsevier, Informatica and IJACSA, indexed in Scopus and WoS.

  • RENACYT · CONCYTEC

    4researchers

    RENACYT researchers

    Faculty and students qualified by CONCYTEC; two of them as undergraduates.

  • GitHubORCID

    7open repositories

    Reproducible science

    We publish the code and data behind our papers in open repositories.

  • Universidad Nacional del AltiplanoFINESI

    2026approval

    Institutional backing

    Approved by the FINESI-UNAP Faculty Council.

Team

Lecturers and students researching together

Meet the team

Open source

Ongoing projects

All projects
Ongoing
L3

Análisis de datos socioeconómicos de Puno

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

Ongoing
L4

Predicción de heladas en el altiplano

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

Fred Torres CruzDina Maribel Yana YucraRichar Andre Vilca Solorzano Repository
Ongoing
L4

Pan-Andean GLOF susceptibility

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

Richar Andre Vilca Solorzano Repository
Ongoing
L4

Streamflow & drought — Altiplano

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

Richar Andre Vilca Solorzano Repository
Ongoing
L3L4

Spatial CV meta-analysis

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

Richar Andre Vilca Solorzano Repository
Published
L1L4

AgroYachay

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

Fred Torres CruzRichar Andre Vilca SolorzanoDina Maribel Yana YucraVladimiro Ibáñez Quispe Repository

Join us

Do research with LaCima

Admission is by evaluation. If you are into data, AI or computing, apply and learn by publishing alongside RENACYT researchers.

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