Stelios Theophanous

Stelios Theophanous is a Real-World Data Scientist at Leeds Teaching Hospitals NHS Trust (LTHT), specialising in federated learning and focusing on leveraging the power of data to improve healthcare outcomes. 

In his current role, Stelios leads the transformation of LTHT patient data to the OMOP common data model, and as part of the DigiONE network – a collaborative effort among six European cancer centres – delivers studies exploring cancer outcomes through a privacy-preserving federated approach using Vantage6. In addition, he is investigating the impact of the COVID-19 pandemic on cancer diagnoses and treatment by analysing national cancer datasets within the NHS England secure data environment.

Prior to this role, Stelios completed his PhD at the University of Leeds and LTHT. During his doctoral studies, he supported the creation of the international atomCAT consortium, which now consists of 16 anal cancer treatment centres. Notably, he conducted the atomCAT2 federated learning study, examining the impact of clinical and radiotherapy factors on overall survival, locoregional control, and freedom from distant metastasis in patients treated for anal cancer across the 16 atomCAT centres.