intro

Our lab is dedicated to advancing the field of neuroscience by developing in silico models that harness machine learning to reveal biological insights. Our mission is to not only contribute to foundational scientific knowledge but also to promote a future with reduced reliance on animal experimentation. To achieve these goals, we work with multimodal omic data (e.g., scRNA-seq) as well as functional data (e.g., Ca imaging). At the core of our research, we are actively developing computational approaches that leverage the latest advances in deep generative modeling and artificial intelligence.

research areas

Our work develops machine learning and probabilistic methods to connect molecular variation and cellular states with brain function and behavior. Current projects span multi-omics integration, neural data foundation models, and clinically motivated genomics and neuroscience applications.

single-cell and multi-omics genomics

• Computational pipelines for single-cell and multi-omics data analysis and QC
• Multimodal integration and representation learning across omics layers (for example transcriptomics, proteomics, and epigenomics)
• Latent factor and trajectory methods to map cellular programs and disease-associated perturbations, including exposure and mental health contexts

genotype–phenotype modeling and genomic AI

• Genotype-to-phenotype prediction in neurobiology and neurodegeneration settings
• Sequence-based representation learning (genomic language models) and multimodal genomic prediction
• Projects linking inherited variation, molecular readouts, and downstream phenotypes, including telomere-related traits

computational neuroscience and neural foundation models

• Deep generative and probabilistic models for neuronal functional recordings, with emphasis on calcium imaging
• Single-neuron and population-level dynamics, simulation-based validation, and scalable inference
• Foundation-model approaches for neural data and neurotechnology, including photostimulation-oriented modeling

integrative neurogenomics and translational brain research

• Multi-modal integration of molecular and functional data to study brain-related phenotypes
• Collaborative projects combining omics and neuroscience data in disease and intervention contexts, including multi-partner networks

environment

Our lab is part of various world-class research institutions and groups in Barcelona, including:

• Institute of Neurosciences at UB (UBNeuro) [URL]
• TECNIO Group of Data Science and Artificial Intelligence at UB [URL]
• Group of Pathophysiology and Treatment of Neurodegenerative Disorders at IDIBAPS [URL]

Our lab’s research pushes the boundaries of what can be achieved with in silico models in the life sciences, and we are excited to be at the forefront of discoveries that have the potential to transform neuroscience. We welcome collaborations and discussions with others interested in our work.