Eleni Elia

Eleni Elia is a Senior Lecturer in Statistics at Oxford Brookes University's School of Engineering, Computing and Mathematics, leveraging expertise from research positions at Harvard University, Boston Children's Hospital, and the University of Leicester to develop AI-driven healthcare solutions that improve patient outcomes through advanced computational methods and biostatistics.

Her academic foundation includes:

• BSc (Hons) in Mathematics
• MSc in Statistics
• PhD in Statistics

Dr. Elia's research bridges biostatistics and artificial intelligence with clinical applications, focusing on prognosis research and healthcare data analysis. She pioneers computational approaches to transform patient care, particularly in pediatric cardiology and epidemic surveillance, using real-world data to address critical medical challenges through interdisciplinary collaboration.

Analysis of her 14 publications (2015-2024) reveals consistent application of statistical modeling to medical domains, with growing emphasis on AI integration in cardiology, biomarker analysis, and epidemic prediction. Her work demonstrates methodological rigor while addressing urgent healthcare needs through pediatric applications and refugee camp disease surveillance.

Her scientific recognition includes:

• Enterprise Champion Award 2022/23 for 'Gamifying entrepreneurship education for mathematics students'
• Executive Coaching Award 23/24 as a 'Research Leader'
• Mardia Prize from the Royal Statistical Society for refugee-focused statistical workshops

Dr. Elia actively mentors PhD candidates and leads significant research initiatives including 'Infectious disease surveillance in refugee camps', 'Biomechanics interactive database development', and 'Epidemic surveillance systems', while securing substantial university funding for healthcare AI innovation and entrepreneurship programs.

She contributes to cutting-edge research through the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and Visual Artificial Intelligence Laboratory (VAIL), driving interdisciplinary projects that connect statistical theory with life-saving medical applications.