Oliver Stegle

October 8, 2024 | 4 - 5 pm

Broad Institute Auditorium

Oliver's research interest lies in computational approaches for unravelling molecular and phenotypic variation. How do genetic background and environment jointly shape phenotypic traits or cause diseases? How are genetic and external factors integrated at different molecular levels, and how variable are these molecular readouts between individual cells?

His group uses statistical inference and machine learning as our main tools to address these questions. The methods we develop allow us to exploit large and high-dimensional omics data to identify disease signatures and pinpoint causal drivers.

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