Featured Projects

Emotion analysis using LLMs

Deploying a pretrained language model (BART-MNLI) to classify the experience of a cohort of subjects undergoing a breathwork intervention.

Looking at faces to infer internal states

Used a data-driven approach (GLM-HMM) to predict an animal's performance in a naturalistic setup by only having access to facial expression.

MNIST with Spiking Neural Networks

Solving a simple classification task with a bio-inspired Neural Network.

Overcoming trial-averaging in Neuroscience

Developed a general and simple computational method that allows neuroscientists to check the relevance of trial-averages (such as firing rates, PSTHs) in their datasets. Validated this method in two different datasets.

Music classification with Computer Vision

Using optimized CNNs to classify music genres, using Bayesian Optimization and Transfer Learning.

Relating structure and dynamics of nonlinear systems (chaotic and stochastic) that are embedded in complex networks; extra: experimental validation.

On top of that, phenomenological model of the neuro-glial interaction in Spiking Neural Networks!

MSc Thesis in String Theory

Spatial and temporal solution for the pulsating string in an AdS³ ambient space. These results generalize and extend previously known ones. Furthermore, we can explain them in a more parsimonious way.

PhD Thesis in Complex Networks

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Exploring and steering the moral compass of LLMs

Ethical dilemmas, moral values profiles, a novel causal intervention...

This study has it all!