- Publications: Multiple papers in ICCV 2025, WACV 2025, ECCV 2024, WACV 2024, CVPR 2023, etc.
- Awards: Received several scholarships and won hackathons and robotics competitions
- Reviewer Experience: Served as a reviewer for CVPR, ICLR, WACV, LXAI, and currently serves as co-chair for the LXAI NeurIPS 2024 workshop
Research Experience
- Winter 2025: Machine Learning intern at RBC Borealis, working on test-time adaptation (TTA) for forecasting
- During Master's: Researcher at LINCS/CETENE, working with Edna Barros and Antonyus Pyetro on object detection and face recognition
- During Bachelor's: Software engineer intern at Motorola/CIn, developing a parser for 4G wireless communication; co-founded RoboCIn, the top robot competition team in Latin America
- After Bachelor's: Junior data engineer at Neurotech, focusing on ETL, data ingestion, and deep learning solutions
Education
- PhD: ÉTS Montreal, in computer vision and machine learning, advised by Marco Pedersoli and Eric Granger, time not specified
- Master's: CIn-UFPE, advised by Hansenclever Bassani, also worked as a researcher at LINCS/CETENE with Edna Barros and Antonyus Pyetro
- Bachelor's: CIn-UFPE, in computer engineering, worked with Edna Barros, Hansenclever Bassani, and Carlos Alexandre on robotics and computer vision
Background
- Research Interests: Computer vision and machine learning, especially in object detection and domain adaptation
- Brief Introduction: A fourth-year PhD Candidate at ÉTS Montreal, working on the Distech Controls Industrial Research Chair project with a MITACS scholarship. Advised by Professors Marco Pedersoli and Eric Granger.
Miscellany
- Personal Interests: Kaggle competitions, playing guitar, watching anime, drinking cappuccino