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Emma Dann


ed6 [at] sanger [dot] ac [dot] uk

About

I’m a computational biologist working on statistical methods and best practices for analyzing single-cell omics data. I recently obtained my PhD at the University of Cambridge, working between the groups of Sarah Teichmann at the Wellcome Sanger Institute and John Marioni at the EMBL European Bioinformatics Institute.

My research focuses on quantifying differences between biological conditions in single-cell data, optimizing the use of cell atlases, and characterizing disease-related cell states, with a focus on human tissue immunology.

My work relies on open science, sharing of resources and know-how. I am part of the core team of the scverse consortium, developing and maintaining foundational tools for omics data analysis in python.