Portrait of Rafael Oleques Nunes

Rafael Oleques Nunes

PhD candidate in Computer Science · Institute of Informatics, UFRGS

Advised by Prof. Joel Luís Carbonera

I work on Natural Language Processing, with a focus on Portuguese, in fields that carry their own technical vocabulary and leave very little annotated data behind: geology, law, health, language teaching. Mostly named entity recognition, information extraction and text generation.

Two things hold my attention. How these systems are evaluated, because a benchmark can quietly stop measuring what it promises. And the meeting point between computing and other disciplines, where the questions worth answering usually come from the people who know the domain.

ronunes [at] inf.ufrgs.br

Publications

Education

2013–2016

Technical High School in IT

IFSUL Charqueadas

2018–2023

BSc in Computer Science

UFRGS

2023–2025

MSc in Computer Science

UFRGS

“Data contamination in specialized NER corpora”

2025–present

PhD in Computer Science

UFRGS

Advisor: Prof. Joel Luís Carbonera

Currently visiting CIDEHUS, University of Évora

Honors & awards

Research projects

Research project 2021–present

GEORESERVOIR

Studies the geometry of sedimentary deposits that form oil reservoirs, so that descriptions from different sources can be mapped onto a single conceptual model and queried parametrically. Combines a formal ontology, cognitive vision over seismic and outcrop images, and data mining over the resulting database.

Coord. Prof. Joel Luís Carbonera — UFRGS, in cooperation with CENPES/Petrobras

Research project ongoing

AI for Celpe-Bras proficiency assessment

LLM-based tools for describing Portuguese-as-an-additional-language proficiency and building automated, personalized assessment resources from the Celpe-Bras exam corpus.

Grupo Avalia — Coord. Profa. Juliana R. Schoffen, UFRGS

Earlier 2018–2019

Clinical NLP

Automatic classification of medical information from clinical notes.

Advisor: Prof. Renata Vieira

Earlier 2016

ImgDenoising & Advicor

Tools for image noise removal and assistive technology.

Advisor: Prof. Rodolfo Favaretto

Service

Co-supervision

Undergraduate theses co-supervised with Prof. Dennis G. Balreira (UFRGS).