Dr. Christiana Kartsonaki

Associate Professor

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Biography

Christiana Kartsonaki is an Associate Professor in the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) at Oxford Population Health, University of Oxford. She specializes in epidemiology with a focus on cancer diseases and related statistical methods. Her research interests include investigating associations between risk factors and biomarkers, such as metabolomics and proteomics, particularly in the context of the China Kadoorie Biobank. Dr. Kartsonaki is engaged in risk prediction and the design of case-subcohort studies, addressing topics including cardiometabolic diseases, air pollution, COVID-19, and cystic fibrosis. She holds a DPhil in Statistics and an MSc in Applied Statistics, and has previously worked as a Biostatistician in the Department of Oncology at the University of Oxford and as a Research Associate at the Centre for Cancer Genetic Epidemiology in the Department of Public Health and Primary Care at the University of Cambridge.

Research Interests

Experience

Biostatistician

— Present

University of Oxford • Oxford

Worked in the Department of Oncology.

Research Associate

— Present

University of Cambridge • Cambridge

Worked at the Centre for Cancer Genetic Epidemiology in the Department of Public Health and Primary Care.

Requirements for University of Oxford

Master Program
Requirements
GPA Requirement
Required:3.7
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:22
Reading
Required:24
Writing
Required:24
Speaking
Required:25
Total
Required:110
Prerequisites
Bachelor's degree in Politics, International Relations, Economics, History, Law, Philosophy or Sociology
Application Checklist
  • Three academic references
  • Official transcripts
  • CV/Resume
  • Statement of Purpose (1,000 words)
  • Two academic essays (2,000 words each)
Specialization Notes

Department of Politics and International Relations - Higher Level English requirement.