Andrea Posada is a doctoral researcher at the Chair for Artificial Intelligence in Medicine at the Technical University of Munich (TUM). Her research centers on multimodal learning techniques for medical imaging, with a particular focus on ophthalmology. Before starting her PhD, Andrea completed a Master’s degree in Data Engineering and Analytics at TUM. Her Master’s thesis explored the application of diffusion models for inpainting radiological findings in chest X-rays.

Interests

  • Multimodal learning
  • Ophthalmological imaging
  • Generative AI

Education

  • Data Engineering and Analytics (M.Sc.), 2024

    TUM

  • Mathematical Engineering, 2020

    Universidad EAFIT, Colombia