Kalpana Raja

Kalpana Raja is an Instructor in Biomedical Informatics and Data Science at Yale School of Medicine with expertise in natural language processing and machine learning. She develops methodologies for extracting biomedical knowledge from text and genomic data, focusing on applications in disease comorbidity, drug repurposing, and biomarker discovery.

Education:

• Ph.D. in Computing: Software Technology – Bioinformatics, Bharathiar University
• M.Sc. in Bioinformatics, Bharathiar University
• M.Sc. in Computing, Robert Gordon University
• B.Pharm., Tamilnadu Dr M G R Medical University

Her research integrates NLP techniques with omics data to address complex biomedical questions. She has created tools for protein-protein interaction extraction, clinical trial cohort identification, and comorbidity analysis. Her recent work focuses on adapting large language models for specialized biomedical applications including entity recognition, literature summarization, and clinical data mapping.

Her publications demonstrate consistent innovation in applying NLP to drug-disease relationships, with recent expansion into LLM benchmarking and genomic data integration. This work provides frameworks for accelerating discovery in complex diseases through computational approaches.

Awards:

• Chartered Scientist, Royal Society of Biology (2022)
• Women Scientist Award (2019)
• Technology Award, British Computer Society (2006)