Nicola Mueller, PhD
Assistant Professor
Medicine
School of Medicine

We seek to quantify the transmission dynamics of bacterial and viral infectious diseases using pathogen genome sequence data, with the ultimate goal of informing public health interventions to reduce the disease burden. Methodologically, we use phylodynamic methods to infer transmission dynamics from pathogen genome sequence data.

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We are particularly interested in developing methods to infer transmission dynamics from multiple data sources, such as pathogen genome sequences, epidemiological data, and spatial data. We apply these methods to study the transmission dynamics of influenza viruses, SARS-CoV-2, and bacterial pathogens.

Education & Training

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  • PhD Epidemiology, Phylodynamics ETH Zürich 09/2019
  • MSc Biotechnology, Major in Systems Biology ETH Zürich 07/2016
  • BSc Biotechnology ETH Zürich 07/2015

Interests

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  • Phylogenetics
  • Infectious Diseases
  • Influenza
  • SARS-CoV-2
  • Phylodynamics
  • Genomic Epidemiology
  • AMR

Websites

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Publications (29)

Top publication keywords:
Models, GeneticReassortant VirusesOrthomyxoviridaeInfluenza, HumanDisease OutbreaksMumpsGenome, ViralMumps virusCoronavirus 229E, HumanEpidemicsPhylogeographyWashingtonActomyosinInfluenza A Virus, H3N2 SubtypePhylogeny

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