My portfolio includes projects of bioinformatics, network science, software development, machine/deep learning, web development, and other topics.
A Python package with statistical functions to analyse multimodal molecular data.
A Python package for creating interactive and static visualizations of multi-omics data.
A Python package that automates the creation of reports from bioinformatics outputs, supporting formats like PDF, HTML, DOCX, ODT, PPTX, Reveal.js, Jupyter notebooks, and…
Building a knowledge graph of the wastewater treatment microbiome and its biological context.
Creating a database of herbarium records from tropical forest species of the Americas and developing machine learning classifiers to predict their phenology.
Evaluating differences in bacterial association networks from rainforest and converted pasturelands in the Colombian Amazon region.
Drug repurposing for dengue using a biomedical knowledge graph and graph neural networks.
An open-source software to study the bioactive chemical space of antimicrobial peptides using networks, clustering, and similarity-searching models.
Evaluating the capacity of the Wilson-Cowan firing-rate model to simulate biological sound processing captured by fMRI data using machine learning classifiers.
Predicting the neural responses to visual stimuli of naturalistic scenes using ML-based visual encoding models.
A heterogeneous and integrated knowledge graph for the exploration of Neglected Tropical Diseases.
Classification of cardiomyopathies and prediction of new biomarkers with machine learning using RNAseq data.
Exploring the antiparasitic peptides’ chemical space and predicting new potential compounds through network science and similarity searching.
Web Development for the Latin American and Caribbean (LAC) Forum on Bioinformatics Education 2022.
A plant disease detector based on convolutional neural networks, trained to recognize two types of maize infectious diseases.
Web Development for the SEH2Bioinfo Symposium.
Summarizing the weekly reports of SARS-CoV2 variants in European countries using data from the GISAID database.
Training machine learning classifiers to predict the antimicrobial activity of peptides.
An open-source educational resource of computational tools for bioinformatics enthusiasts written in Spanish.
Training machine learning classifiers to evaluate the activity of molecules/ligands that have been experimentally tested to bind or not bind to beta-lactamases.
A webpage to gather information from labor informality in Ecuador. The goal was to create a community where people could interact and generate work opportunities.
Sentiment analysis of replies to tweets from Ecuadorian presidential candidates in the 2021 elections using natural language processing and neural networks.
Computational study of the structural changes of two Cereblon protein mutations through molecular dynamics and quantum mechanics simulations.
Binding specificity between repressor proteins and a transcriptional factor associated with the jasmonic acid pathway through molecular dynamics and machine learning.
Understanding the impact of horizontal gene transfer in the genome of Streptomyces clavuligerus using phylogenetics and RNAseq data.
