Decoding living systems with AI
Explore our researchThe Daouda Lab develops AI and computational methods to understand complex biological systems. We work across multi-omics, imaging, molecular biology, and clinical data to turn large-scale information into biological discoveries.
We design interpretable deep-learning and generative models that uncover new biology.
Our approaches are designed on strong biological hypotheses to allow for collaboration and experimental validation.
Our goal is to use AI to tackle the most complex problems in cell biology, improve diagnosis, and accelerate biological research.
scDisentangle creates a highly structured and precise latent space for Single-Cell analysis and counterfactual generation, with straightforward interpretability.
Identification of neurotoxic proteins of biological origin and the residue that support the neurotoxic phenotype
Dr. Tariq Daouda gave a talk at the AI-MEDX 2026 Conference
We whish Ali the best of luck in his musical journey.
