Contact information
marta.alcaldeherraiz@wolfson.ox.ac.uk
https://orcid.org/0009-0002-4405-1814
She/Her
Research groups
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Marta Alcalde Herraiz
DPHIL STUDENT
I am a DPhil student in Clinical Epidemiology and Medical Statistics. My research interests lie in using real-world, routinely collected healthcare data to improve the safety and effectiveness of treatments. My work is particularly focused on medical devices, and during my DPhil I aim to evaluate and test methods for the analysis of observational data in ways that minimise bias and strengthen causal inference.
I hold a BSc in Engineering Physics from the Universitat Politècnica de Catalunya. During my degree, I pursued internships at the Comparative Medicine Centre and Bioimage of Catalonia (CMCiB) and at the Computational Biology and Complex Systems (BIOCOM-SC) research group, which sparkled my interest on medical statistics. I later conducted my Bachelor Thesis at the Health Data Sciences (HDS) research group, at the University of Oxford, where I used Mendelian Randomisation to study the causal association between sclerostin inhibition and cardiovascular risk factors. This experience truly deepened my interest in epidemiology and public health. Following my undergraduate studies, I joined Prof. Prieto-Alhambra's research group as a Research Assistant in Health Data Sciences and Pharmacogenomics.
Alongside my DPhil, I continue to work part-time within the HDS research group, contributing to the development of open-source analytical tools and to large-scale multinational network studies for the European Medicines Agency's DARWIN-EU initiative.
Recent publications
Phosphodiesterase-5 Inhibition and Alzheimer's Disease Risk: A Mendelian Randomisation Study.
Journal article
Alcalde-Herraiz M. et al, (2025), Aging Cell, 24
CohortSymmetry: An R package to perform sequence symmetry analysis using the OMOP common data model
Preprint
Chen X. et al, (2025)
mock: A R package for Mock Data Generation for the Observational Medical Outcomes Partnership Common Data Model
Journal article
Du M. et al, (2025), The Journal of Open Source Software, 10, 8178 - 8178
Sociodemographic factors, biomarkers and comorbidities associated with post-acute COVID-19 sequelae in UK Biobank.
Journal article
Alcalde-Herraiz M. et al, (2025), Nat Commun, 16
Refinement of post-COVID condition core symptoms, subtypes, determinants, and health impacts: a cohort study integrating real-world data and patient-reported outcomes.
Journal article
Wang Y. et al, (2025), EBioMedicine, 111