We combine massively parallel perturbation experiments with modelling and machine learning to understand, predict and engineer the fundamental sequence-to-activity encoding functions of mo...
This interdisciplinary research team combines mathematical modeling with experimental design to investigate aging mechanisms and their connection to age-related diseases.
The Sharpe group brings together an interdisciplinary team of biologists, physicists and computer scientists to build multi-scale computer simulations of a paradigm of organogenesis – mamm...
Together with Mafalda Dias, I lead the Probabilistic Machine Learning and Genomics Group at the CRG, where our group develops models of the effect of genetic variation on phenotype.
The goal of the Garcia-Ojalvo lab (Dynamic Systems Biology, UPF) is to understand how the behaviour of living systems (specifically cells and tissues) emerges from the interactions among t...
The Haase Group combines experimental and computational means to understand the complex processes of vascular development and remodeling in human tissue-specific models.
In our group we are aiming at a quantitative understanding of biological systems to an extent that one is able to predict systemic features and with the hope to rational design and modify ...
We are interested in the relationship between evolution, biological sequences, and molecular phenotype.
We develop probabilistic modelling approaches to understand the effect of genetic...
Aging occurs at multiple spatial scales--functional declines visible in molecules, organelles, cells, tissues, organs and organisms that ultimately cause poor health and death.
I am ICREA research professor (the Catalan Institute for research and Advanced Studies) currently working at the Universitat Pompeu Fabra, where I'm the head of the Complex Systems Lab loc...
The Trivedi group aims to understand the self-organisation of cells, fundamental to metazoan development, through comparative study of embryos and organoids that generate a global coordina...