Congratulations to Ghadeer for her DPhil

Congrats to Dr Ghadeer Ghosheh on completing her DPhil in Engineering Science. Her thesis, Individualized Data Generation for Electronic Health Records (EHRs), was supervised by Prof. Tingting Zhu. Read the full thesis here: Oxford Research Archive (ORA)

Her research developed practice-oriented and theory-grounded approaches to generating patient-level clinical data using a range of generative models, offering new perspectives on learning objectives and evaluation for personalized synthetic data. She also worked on individualized imputations for missing data and examined treatment-effect estimation to improve the reliability of observational analyses. This work led to numerous publications.

Her methods were applied across datasets from ICU, emergency, and primary care settings, spanning multiple countries and cohorts. She is now working in industry, focusing on biomedical and computational health research and leading AI teams in this capacity.

Publications by Research Theme

Individualized Treatment Effects

• Ghosheh, G. O. et al.. (2025). A Perspective on Individualized Treatment Effects Estimation from Time-Series Data. Journal of the American Medical Informatics Association. 
• Ghosheh, G. O. et al.(2025). Multi-Objective Individualized Treatment Effects Estimation (ITE) for antihypertensive medications in five million patients longitudinal data. [Under Review].
• Ghosheh, G. O. et al.(2025). Relaxing Sequential Ignorability: A Flexible Framework for Accounting for Missingness-Related Confounding in Time-Series ITE Estimation.  [Under review]

Missing Data & Imputation

• Ghosheh, G. O. et al. Understanding Missingness in Time-series Electronic Health Records for Individualized Representation. arXiv:2402.15730. 
• Ghosheh, G. O. et al. (2024). IGNITE: Individualized Generation of Imputations in Time-series Electronic Health Records. arXiv:2401.04402. 

Generative Models & EHR Synthesis

• Ghosheh, G. O. et al. (2025). A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records. ACM Computing Surveys, 56(4), Article 63.
  Ghosheh, G. O. et al. (2023). Synthesizing Electronic Health Records for Predictive Models in Low-Middle-Income Countries (LMICs). MDPI Biomedicines, 11(6), 1749.

Congratulations, Dr Ghosheh.