Talks and presentations

Interpretable Causal Representation Learning for Biological Data in the Pathway Space
AIDrugX, NeurIPS 2024
Poster presentation about a causal interpretable framework with theoretical guarantees for Perturb-seq datasets.
Towards a more inductive world for drug repurposing approaches
NeurIPS 2023 New Frontiers of AI for Drug Discovery and Development
Oral talk about an inductive and data-leakage analysis on drug repurposing approaches.
Adaptive Autoencoders for RNA-seq Data
Machine Learning in Computational Biology (MLCB) 2023
Shared research on Sweetwater, an adaptive autoencoder designed for tissue deconvolution, and its ability to minimize distributional shifts between training and testing datasets.
Bayesian inference model with sparsity constraints
International Society for Computational Biology (ISMB)/ECCB, 2021
Long talk on a Variational Bayes Spike Linear Regression to model gene expression clusters and infer disruptions among them.

Artificial Intelligence and ChatGPT
ciberEHD Workshop, Medicine School, University of Navarra, 2024
Delivered a talk on the applications of AI and language models like ChatGPT in healthcare and biomedical research, highlighting advancements and potential challenges.
New Data Science Bachelor’s Program Introduction
TECNUN School of Engineering, University of Navarra, 2023
Invited to present the newly established Data Science program, focusing on the integration of machine learning techniques across different engineering disciplines.

Machine Learning Consultant
Data Study Group, Kunato Challenge at the Alan Turing Institute, May 2024
Participated as an ML consultant, offering expertise on machine learning models and their applications during the Kunato Challenge.