Alexander Pelletier

My research centers on developing scalable deep learning frameworks for biomedical applications, with a focus on large language models (LLMs) and knowledge representation. I work on integrating biomedical text corpora and curated databases with LLMs through an agentic retrieval-augmented generation (RAG) workflow to support the discovery of novel biomedical relationships, improve interpretability through evidence-grounded predictions, and facilitate hypothesis generation in domains such as cardiovascular medicine. Broadly, I am interested in applying cutting-edge AI/ML technologies to advance human health by uncovering mechanistic insights into disease and contributing to precision medicine.

LinkedIn: www.linkedin.com/in/alexander-r-pelletier/

ORCID: 0000-0002-1945-8420