Gabriel Bocaz is a PhD student and teaching assistant in Information Access and AI at the University of Stavanger with a decade of experience blending research and applied ML. His work spans incremental word representations, streaming information and IR, culminating in a SIGIR-accepted framework from his master’s thesis and ongoing research fellowship activity. He has taught a wide range of courses—from NLP and deep learning to data mining and software engineering—mentoring cohorts of 50–100 students while also building production ML pipelines and GenAI prototypes in industry roles. Comfortable across research, production and teaching, he pairs rigorous academic grounding with hands-on engineering (full-stack and data pipelines) and a track record of deploying models into real workflows. Outside academia he’s an avid cyclist and runner, and maintains a personal site documenting his projects and research.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Stavanger
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidad de Chile
RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
Contributions:1 release, 226 commits, 218 pushes in 2 months
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