Imperial College London

DrVerenaZuber

Faculty of MedicineSchool of Public Health

Senior Lecturer in Biostatistics
 
 
 
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Contact

 

v.zuber

 
 
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Location

 

526Medical SchoolSt Mary's Campus

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Summary

 

Summary

(How) Can we draw causal conclusions from observational data?

My research focus is the development of novel methodology for causal inference and its application in life science and health data research. A particular focus of my research is the use of genetic variation as instrumental variables, a study design also known as Mendelian randomization. More broadly, my research interest is at the intersection of causal inference, high-dimensional statistics, machine-learning and statistical genetics. Relevant statistical methodology for my research includes instrumental variables, Bayesian causal structure learning, causal networks including machine learning approaches for DAG learning, doubly robust estimation, and counterfactuals.

Collaborations are an important aspect of my work, I am fortunate to work with experts in cardiovascular health, cancer, brain diseases in particular neurodegeneration and mental health.

For an informal discussion regarding Summer projects please get in touch!

Github: https://github.com/verena-zuber

Publications

Journals

Wang N, Mustafa R, Zuber V, et al., 2023, Association between systolic blood pressure and low-density lipoprotein cholesterol with coronary heart disease according to age, Plos One, Vol:18, ISSN:1932-6203

Huang L, Tang S, Rietkerk J, et al., 2023, Polygenic Analyses Show Important Differences Between Major Depressive Disorder Symptoms Measured Using Various Instruments., Biol Psychiatry

Roychowdhury T, Klarin D, Levin MG, et al., 2023, Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target., Nat Genet, Vol:55, Pages:1831-1842

Roychowdhury T, Klarin D, Levin MG, et al., 2023, Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target, Nature Genetics, ISSN:1061-4036

Bowden SJ, Doulgeraki T, Bouras E, et al., 2023, Risk factors for human papillomavirus infection, cervical intraepithelial neoplasia and cervical cancer: an umbrella review and follow-up Mendelian randomisation studies, Bmc Medicine, Vol:21, ISSN:1741-7015, Pages:1-15

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