WELCOME TO

The Laboratory of Artificial Intelligence applied to Bioinformatics (LAI2B) focuses on developing and applying artificial intelligence methods to deal with hard to solve problems in several areas. Our main application has been in bioinformatics during the last years, treating with the analysis of gene expression data, the 3D protein structure prediction problem, and phylogenetic inference. We strongly believe that collaboration with an interdisciplinary team is a must in this area. We have collaborated with researchers to analyse datasets related to cancer, the wine industry, and healthcare analysis, among others.

In short, we aim at working closely with biologists and biotechnologist to understand the problems and to produce meaningful results by creating advanced algorithms using artificial intelligence techniques. The goal is to uncover the information hidden in the datasets.

We believe that frontiers do not exist for science, so we promote collaboration at a national and international level. Currently, we collaborate with researchers from Brasil, France, Ecuador, and Australia. In Chile, we collaborate with researchers from Universidad Austral, Universidad Católica del Maule, and other university departments.

If you like our work, we invite you to write to us, and we would be happy to discuss it. Just email any of the faculty members.

OUR

PROJECTS

RECENT PROJECTS

USACH DICYT Regular 2023/2025 - 062319VC

Este proyecto desarrolla estrategias y herramientas basadas en datos para evaluar la eficiencia del sistema de salud en hospitales públicos de Chile, con especial énfasis...

2023 - 2025

Fondectyt Regular 2023/2025 - 1231505

Este proyecto se centra en el desarrollo de algoritmos robustos de clustering multiobjetivo aplicados al análisis de datos biológicos, con énfasis en conjuntos de datos...

2023 - 2025

USACH DICYT Juventud Investigadora 2024 - USA 21991, 062419VC, JUVI 2025

Este proyecto utiliza inteligencia artificial y técnicas de aprendizaje automático para estudiar la evolución y el genoma de cepas vínicas de Saccharomyces cerevisiae, con el...

2024

USACH DICYT Regular 2023/2025 - 062319VC

Este proyecto desarrolla estrategias y herramientas basadas en datos para evaluar la eficiencia del sistema de salud en hospitales públicos de Chile, con especial énfasis...

2023 - 2025

Fondectyt Regular 2023/2025 - 1231505

Este proyecto se centra en el desarrollo de algoritmos robustos de clustering multiobjetivo aplicados al análisis de datos biológicos, con énfasis en conjuntos de datos...

2023 - 2025

USACH DICYT Juventud Investigadora 2024 - USA 21991, 062419VC, JUVI 2025

Este proyecto utiliza inteligencia artificial y técnicas de aprendizaje automático para estudiar la evolución y el genoma de cepas vínicas de Saccharomyces cerevisiae, con el...

2024

USACH, INEDI 2024, CICES

Este proyecto desarrolla una herramienta de uso amigable basada en modelamiento matemático para automatizar el diseño curricular en programas de ingeniería, con el propósito de...

2024

RECENT
NEWS

OUR

PUBLICATIONS

LATEST PUBLICATIONS

JOURNAL ARTICLES

Contreras, Á., Villalobos‐Cid, M., Valdés, C., Villarroel, C. A., Castro, F., Farías, I., & Lorca, G. (2025). Obtaining new brewing yeasts using regional Chilean wine yeasts through an adaptive evolution program. Frontiers in Microbiology, 16, 1599904. https://doi.org/10.3389/fmicb.2025.1599904

JOURNAL ARTICLES

Chourio-Acevedo, L., Madrid-Muñoz, G.,  Kri-Amar, F., Román-Cortés, A., Joglar-Campos, C., & Villalobos-Cid, M. (2025). Assessing academic workload in computing engineering programs: A preliminary study. In Revista Digital Educación En Ingeniería (Vol. 20, p. 1-13). https://doi.org/10.26507/rei.v20n39.1297

JOURNAL ARTICLES

Tona Peres, I., da Cunha Braga, L., & dos Santos Lourenço Bastos, L., & Villalobos-Cid, M. (2025) Efficiency analysis of healthcare systems in Latin American and Caribbean countries: An application based on data envelopment analysis. In Value in Health Regional Issues (Vol. 46, p. 101075). https://doi.org/10.1016/j.vhri.2024.101075