Kamyar completed his masters degree in Medical Informatics at the University of Applied Sciences in Dortmund . The topic of his master thesis was the development and evaluation of a Natural Language Processing (NLP) pipeline to extract FHIR resources from unstructured medical data. Currently, he is working on a NLP pipeline to anonymize clinical documents with the aim to integrate this pipeline into the hospital workflow. He further wants to use NLP for the extraction of various medical phenotypes.

Interests
  • Natural Language Processing
  • Large Language Models