Biography
I am a statistical geneticist supported by a Wellcome Early-Career Award. I am interested in understanding the molecular architecture (DNA, RNA, proteomics, metabolomics) of health outcomes (disease, treatment response, comorbidity). Using statistical terminologies, I work on dimension reduction, longitudinal analyses, efficient inference methods, and causal inference. Previously I held a one-year transition British Heart Foundation career development fellowship (2022-2023). I got my DPhil in Genomic Medicine and Statistics from Oxford University, funded by a Rhodes Scholarship and a Wellcome Trust studentship. I received a BSc from Fudan University with an overall top GPA. My research program is supported by collaborations and sponsorships from several domain experts, including Michael Inouye (translational multi-omics), Alkes Price (statistical genetics), Sam Lambert (PGS Catalog), and John Danesh (translational epidemiology). I have experience in other computational biology topics, including infectious diseases and computational neuroscience.
Research
I am a statistical geneticist working on using molecular data to explain health outcomes. I am particularly interested in how additional data modality could enhance our current understanding of diseases (including outcomes and treatment responses). I am broadly interested in two themes of research:
● Methodology development: I am interested in developing statistical methods to understand the molecular architecture (DNA, RNA, proteomics, metabolomics) of health outcomes (disease, treatment responses, comorbidity). In statistical terminology, I work on dimension reduction, longitudinal analysis, efficient inference methods, and causal inference.
● Translational research: We are collaborating with the NHS to develop tools and resources for computing risk scores using polygenic models, protein/metabolite levels, and e-health records. We work closely with clinical teams to investigate potential applications; specifically, developing computational tools and platforms for clinical trials on treatment response prediction and risk stratification. We have opportunities open at different levels.
If you are interested in working with us, please send your CV to xj262@medschl.cam.ac.uk .
Publications
Jiang, X., Zhang, M.J., Zhang, Y., Durvasula, A., Inouye, M., Holmes, C., Price, A.L. and McVean, G., 2023. Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk. Nature Genetics, pp.1-12.
Zhang, Y., Jiang, X., Mentzer, A.J., McVean, G. and Lunter, G., 2023. Topic modeling identifies novel genetic loci associated with multimorbidities in UK Biobank. Cell Genomics, 3(8).
Jiang, X., Holmes, C., & McVean, G. (2021). The impact of age on genetic risk for common diseases. PLoS genetics, 17(8), e1009723.
For a full list of publications, see my google scholar page.
