Arolyn Conwill is a Lead Scientist in Computational Genomics for the Pathogen Program at EIT. In this role, she leads the development of novel computational methods for pathogen detection and characterisation for EIT’s pathogen genomics platform and future medical diagnostics.  

She has an extensive background in microbial genomics, antibiotic resistance, and infectious disease diagnostics. Previously, she worked at Day Zero Diagnostics (now part of bioMérieux) where she developed machine learning models and bioinformatics pipelines that used whole genome sequencing data in order to identify pathogens, predict drug resistance, and investigate outbreaks of hospital acquired infections. Prior to that, Arolyn was a postdoc in the Lieberman Lab at Massachusetts Institute of Technology, where she developed microbial genomics methods for studying the human microbiome and bloodstream infections. During her PhD in the Gore Lab at Massachusetts Institute of Technology, she applied mathematical modelling, computational biology, and high-throughput experiments to gain new insights into how bacterial communities can survive antibiotics exposure. Arolyn holds a Ph.D. in Physics from Massachusetts Institute of Technology and a B.A. in Physics from Pomona College.

Outside of work, Arolyn enjoys spending time in the mountains, cooking with friends, attempting to find time for crafting projects, and exploring Oxford.

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