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.
latest news 🎉
- April 2025: Our lab, in collaboration with the Canals, del Toro, and Giralt labs at the Universitat de Barcelona, along with other esteemed European institutions, has been awarded a prestigious MSCA Doctoral Network grant! This funding will support cutting-edge research and training opportunities for the next generation of scientists at the intersection of neuroscience and machine learning. Stay tuned for more updates on this exciting initiative!
research areas
Our current projects encompass a range of topics at the intersection of machine learning, genomics and neuroscience.
single-cell transcriptomics
- Computational pipelines for analyzing scRNA-seq data
- Analysis of neural lineages differentiation
- Multimodal integration of transcriptomic data
genotype-phenotype prediction
- Identification of genetic modifiers for neurodegenerative diseases
- Advanced machine learning algorithms
- Genomic Language Models
probabilistic modeling of neural functional data
- (Deep) generative models for calcium imaging data
- Single-neuron and population-level dynamics
- Physics-informed machine learning
- Multimodal integration of transcriptomic and functional data
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.
