Xilin Jiang (江熹霖)
Cambridge University (Group Page) & Harvard (Department Profile)
Biomedical Campus, Cambridge CB2 0BD, UK
677 Huntington Ave, Boston, MA 02115, United States
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.
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 including clinical trials, treatment response prediction, and risk stratification.
If you are interested in working with us, check the opportunities page! Currently there are PhD positions at Cambridge PhD in Public Health (need to find external funding).
My research is funded by a Wellcome Early-Career award. I have a primary affiliation at Cambridge University and a secondary affiliation at Harvard School of Public Health. I have close collaboration with Professor Alkes Price at Harvard School of Pulic health, Professor Mike Inouye, and Professor John Danesh at University of Cambridge. 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. I have experience in other computational biology topics, including infectious diseases (as a consultant to the Gates Foundation and China CDC on COVID response) and computational neuroscience (as an undergraduate researcher with Professor Thomas Yeo and Professor David Heeger).
During my PhD study, I enjoyed Oxford life through many (perhaps too many) events. I delivered the scholar address (name for a student speech delivered at the scholarship graduating ceremony) for the Rhodes scholar class of 2017; I organised two Rhodes China Trips; I kept supporting Rhodes Scholarship for China through multiple types of (volunteering) services.
I raced middle distance for my undergraduate college and tried triathlons at Oxford. I occasionally race local runs from 5k up to marathon to maintain fitness. Besides all this, I am an avid cook and was an apprentice under a chef specialised in Huai-Yang (淮扬菜) cuisine.
For English speakers, my name is pronounced Xi-lin (SHYEE-lin; 熹霖) Jiang (JYAHNG; 江); “Xi” is a common pronunciation in Mandarin, and my name 熹 is one of the 437 distinct Chinese characters that share this pronunciation.
news
| Nov 12, 2025 | Pleiotropic heritability and Age-dependent topic model are now available on CRAN. |
|---|---|
| Nov 11, 2025 | Welcome Patrick Gibbs (PhD Dissertation Student) who will be joining us at Cambridge! |
| Oct 31, 2025 | Congratulations to Siyuan for getting a Reviewer’s Choice Poster (top 10%) at ASHG 2025! Exposure Accumulation also got a Reviewer’s Choice Poster (top 10%) at ASHG 2025. |
| Sep 13, 2025 | Exposure Accumulation preprint is out. Check the repo! |
| Jun 17, 2025 | Pleiotropic heritability preprint is out. Check out the software. |
selected publications
-
Exposure accumulation drives age-dependent disease architectures and polygenic risk scoresmedRxiv, 2025
-
Pleiotropic heritability quantifies the shared genetic variance of common diseasesmedRxiv, 2025
-
Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskNature Genetics, 2023
-
Topic modeling identifies novel genetic loci associated with multimorbidities in UK BiobankCell Genomics, 2023
-
The impact of age on genetic risk for common diseasesPLoS Genetics, 2021