Support the design and implementation of comprehensive data models and structured information for oncology
Define and standardize clinical, physical, biological, and technical data using Common Data Elements (CDEs)
Develop and apply automated systems for extracting, managing, and analyzing unstructured medical data using Natural Language Processing (NLP)
Harness LargeLanguage Models (LLMs) and agentic AI frameworks for automated data extraction
Conduct retrospective analyses of clinical data to support ongoing AI and clinical projects within CAIRO, leveraging experience with large clinical databases (e.g., NIS, NSQIP, SEER)
Act as a bridge between clinical needs and technical execution, translating complex medical workflows into robust data structures
Be a part of an active research team across disciplines in a leading university hospital