Associate Faculty Group
Cellular Genetics

Stegle and Theis Group

Cellular Genetics Programme

We aim to leverage machine learning in the context of single cell genomics to provide a true model-based understanding of the manifold upcoming organ atlases. In particular we will develop and adapt methods from deep learning to find robust latent spaces and then combine this with interpretation models to find gene regulatory patterns.

For more about the two Associate Faculty leading this group, please click on their names below.

Our people

Group leads

Photo of Dr Oliver Stegle

Dr Oliver Stegle

Associate Faculty in the Cellular Genetics Programme

Oliver Stegle has pioneered machine learning methods in genetics in genomics, with a recent focus on methods for single-cell biology. His laboratory has developed methods for unravelling cellular heterogeneity, dissecting multi-omics single-cell assays and most recently for tying together genetic variation with single-cell readouts. 
Photo of Prof Fabian Theis

Prof Fabian Theis

Associate Faculty in the Cellular Genetics Programme

Fabian Theis is a pioneer in biomedical AI and machine learning, in particular in the context of single-cell biology. He focuses on preprocessing, visualizing and modeling heterogeneities based on single-cell genomics providing methods and tools with a broad user-base.

Previous core team member

Photo of Dr Anna Cuomo

Dr Anna Cuomo

Research Associate

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Programmes and Facilities

 

Programme

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We combine cutting-edge single-cell genomics at scale with advanced computational methods, including machine learning and artificial intelligence, to understand the human ...