Decoding Cellular Systems: From Observational Atlases to Generative Interventions

Speaker: Dr. Fabian Theis

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Speaker Bio

Fabian Theis is a pioneer in biomedical artificial intelligence and machine learning, advancing in particular the field of single-cell and spatial omics. His work focuses on developing scalable inference methods and foundation models to integrate multimodal data across biological scales, enabling deeper insights into cellular decision-making and tissue organization. As a key contributor to the Human Cell Atlas, he drives innovations in AI-powered cell state modeling, unraveling cellular heterogeneity in health and disease. His lab develops widely used computational tools that set new standards in the field, shaping the future of data-driven precision medicine.