Enrique Noriega

I am an Associate Research Scientist at Northeastern University, where I work with the Gyori Lab for Computational Biomedicine. I build natural-language systems that turn complex scientific and biomedical literature into structured, usable knowledge.

My work sits at the intersection of NLP, large language models, information retrieval, information extraction, and knowledge grounding. I enjoy taking research ideas from problem formulation through model and dataset development to tools that help domain experts search, interpret, and act on evidence at scale.

I bring experience leading collaborative, high-impact research efforts. I was a co-PI on SKEMA, a DARPA-funded program focused on automating scientific knowledge extraction and modeling; lead AI researcher for AZHealthTXT, which developed text-based tools for healthcare innovation; and a core contributor to REACH, an open-source neuro-symbolic system for extracting knowledge from cancer-biology literature.

Previously, at the University of Arizona, I worked with the CLU Lab and the Data Science Institute. Across academic and industry settings, I have developed machine-learning models and datasets, contributed to open-source NLP systems, built APIs, mentored researchers, and partnered with multidisciplinary teams to solve real-world problems.

I am most interested in building systems that connect retrieval, structured extraction, and grounded reasoning, so scientists and other experts can move from a large, fragmented body of text to answers they can inspect, trace to evidence, and use with to derive new insights.