Guergana Savova

Dr. Guergana Savova is a Professor at Harvard Medical School's Computational Health Informatics Program (CHIP), leading research in clinical natural language processing (NLP). Her work focuses on extracting medical insights from electronic health records (EHRs), with notable contributions to the open-source cTAKES system. Previously at the Mayo Clinic (2002–2010), she transitioned to CHIP in 2010.

Education: PhD in Linguistics (with Cognitive Science minor) and MS in Computer Science from the University of Minnesota. Research areas include semantic analysis of clinical narratives, machine learning, and large language model applications in healthcare. Collaborators include institutions like UC San Diego, Columbia University, and MITRE Corporation.

Publications emphasize LLM-driven healthcare solutions, clinical text mining, and guideline development. NIH-funded projects include studies on aneurysm risk factors, cancer phenotyping, and EHR phenotyping algorithms. Her work bridges informatics and clinical practice, addressing challenges in data-driven decision-making and health equity.