Research
DATA ENGINEERING
These projects focus on enabling technologies for data science in specific domains. I put them first because I think they are of the highest importance, as they are the technical bridges between fundamental and applied research.
ALPACS
Pseudo-Anonymized PACS for Data Mining
This project aims to produce interoperable anonymized repositories of medical images, with the objective of building AI applications over these dynamical datasets.
More information: www.alpacs.cl
Funded by: FONDEF IT21I0019, FONDEF IDEA I+D D19I10023, Basal FB-0008
CHIVO
The Chilean Virtual Observatory
This project is the Chilean node of the International Virtual Observatory, a set of repositories, services and resources for astronomical sharing of data, computing power and code.
More information: www.chivo.cl
Funded by: FONDEF IT I15I10041, FONDEF IDEA D11I1060, ICHAA 79130008, DGIIP 216.24.1, DGIIP PL-18-13, MoU CASSACA 2015
DATA SCIENCE
These projects are classical Data Science results that were funded or a there is a large collaboration behind them.
PROXIMITY
Content-based Image Retrieval System Based on Proximity Graphs
This research aims to aid the medical diagnosis through the content proximity of medical images, based on latent spaces of deep learning models and the generation of easy-to-navigate graphs.
More information: www.alpacs.cl
Funded by: FONDEF IT21I0019, FONDEF IDEA I+D D19I10023, Basal FB-0008
BACTERIA GENOMICS
Analysis of Bacteria Genomic Data Using Machine Learning and Text Mining
This is a joint project with the Biotechnology Lab of USM.
More information: carlos.buil@usm.cl (project lead)
Funded by: DGIIPM PI_M_2020_43
EXOPLANET HUNTING
Exoplanet Vetting from Astronomical Surveys using ML Approaches
Funded by: PIICM 2019
ASTROPARTICLE RECONSTRUCTION
Gamma-ray Identification and Reconstruction through Deep Learning
Funded by: GEMINI 3218007, Basal FB-0821
SOURCE STRUCTURALITY
Identifying and Comparing Structurality of Extended Object in Astronomy using Unsupervised Learning
Funded by: ICHAA 79130008
MACHINE LEARNING
Fundamental Research on the Nature of Machine Learning and Artificial Intelligence.
CEREBELLUM-LIKE NEURAL NETWORKS
Funded by STIC-AmSud
BAYESIAN AND INTRINSIC REINFORCEMENT LEARNING
Funded by FONDEQUIP
FOURIER SYNTHESIS AND GAUSSIAN PROCESSES
Funded by CCTVal