University of Birmingham > Talks@bham > Data Science and Computational Statistics Seminar > Genomic pathogen surveillance: past, present and future

Genomic pathogen surveillance: past, present and future

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Abstract: The COVID pandemic has highlighted the world’s vulnerability to the sudden expansion of a high-risk pathogen strain. However, it has also provided an illustration of the power of genomics to detect, understand and control outbreaks. In this talk, I will outline some of the initiatives that aim to make better use of genomic data for the detection of high-risk strains and outbreaks in the future and some of the challenges posed by the analysis of large-scale pathogen genomics data.

Bio: Nicole Wheeler is a Turing Fellow at the University of Birmingham and a consultant for NTI | bio. Dr Wheeler has a background in biochemistry and microbial genomics, complemented by experience in developing machine learning methods for analyzing genomic data. Her work focuses on the development of screening tools for identifying DNA from emerging biological threats and the ethical development of artificial intelligence (AI) for health applications. She has provided expertise on machine learning for genomic pathogen surveillance for several international initiatives and is actively involved in the development of governance frameworks to ensure the safe and responsible development of technologies for health improvement.

This talk is a hybrid one, which will be hosted in our seminar room LG23 . For online audience, you can access the talk via Zoom: with Meeting ID: 390 044 5385 and Password: 224714

This talk is part of the Data Science and Computational Statistics Seminar series.

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