Andreia Rogério

Applied Machine Learning Engineer at Genomics England

Andreia Rogério is a Senior Applied Machine Learning Engineer at Genomics England since January 2022, focusing on genomic large language models for cancer multimodal research and rare disease diagnostics, as well as developing end-to-end sequence-to-embedding pipelines on AWS using HuggingFace models. Prior experience includes roles as a Data Scientist/Machine Learning Engineer and Associate Data Scientist at Datatonic, where Andreia contributed to end-to-end machine learning solutions on Google Cloud Platform and participated in a graduate rotation program across various data analytics disciplines. Earlier research positions were held at King's College London, UCL, and ITQB-UNL, involving cancer bioinformatics and protein structure prediction. Andreia holds a Master's degree in Engineering Systems and Computer Engineering and a Bachelor's degree in Biological/Biosystems Engineering from Instituto Superior Técnico, along with international study experience at Utrecht University.

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London, United Kingdom

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Genomics England

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Genomics England is a wholly owned company of the Department of Health set up to deliver the 100,000 Genomes Project. It was made possible by the National Institute for Health Research, NHS England, Public Health England, and Health Education England.Genomics England sequences 100,000 whole genomes from NHS patients and their families. Its fourmain aims include bringing benefit to patients, creating an ethical and transparent program based on consent, supporting new scientific discovery and medical insights, and kick-starting the development of the U.K. genomics industry.Genomics England is focusing on patients with rare diseases, and their families, as well as patients with common cancers. It was announced by Jeremy Hunt, Secretary of State for Health, as part of the NHS 65th birthday celebrations in 2013. It is based in London, England.


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201-500

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