Zoi Tsangalidou

StatML CDT student

About Me

I am a doctoral student in the Modern Statistics and Statistical Machine Learning (StatML) CDT, interested in developing statistical and machine learning methods for population genetics leveraging ancient DNA data. I am particularly motivated by healthcare-related applications of Machine Learning and genetics. I have also worked on developing deep learning algorithms for disease diagnosis from medical imaging scans. Prior to my DPhil in Oxford, I completed a Bachelor’s in Mathematics and an MPhil in Epidemiology & Biostatistics (focused on breast cancer genetic epidemiology), both at the University of Cambridge.

Research Interests

Statistical and population genetics, ancient DNA, genealogical inference and its applications to the detection of association and natural selection, machine learning for healthcare, biomedical imaging

Contact Details

Office: 2.08

Supervisor