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Miran Ozdogan

Personal photo - Miran  Ozdogan

Miran Ozdogan

Doctoral Student


I'm a first year DPhil student in Computer Science, working in the OxMedIS research group.

I previously completed an integrated Bachelors in Computer Science and Statistics at the Ludwig-Maximilians-University of Munich, where I researched the automated optimization of a tree-based reduction method for multi-class classification called nested dichotomy as my final major project. Subsequently, I completed my MPhil in Cambridge where I developed a new tree-based ensembling method that can optimize arbitrary loss functions.

My research interests are:

  • AutoML for ensembling
  • Multi-class classification 
  • Pretraining methods for medical visual representations

Selected Publications

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