My hometown Recife, Pernambuco, Brazil.

Bio & Interests

I am a research scientist in the Imaging and Computer Vision Group at Data61, CSIRO, Australia, where I focus on advancing the frontiers of 3D reconstruction and understanding technology. My current work revolves around implementing cutting-edge techniques for 3D understanding, particularly exploring the capabilities of Neural Radiance Fields (NeRF). This research has significant implications in diverse fields such as robotics, autonomous systems, and healthcare.

In my previous role, I spent three years as a postdoctoral researcher at Health & Biosecurity business unit at CSIRO, collaborating closely with esteemed professionals including Dr Olivier Salvado, Dr Jurgen Fripp, and Dr Pierrick Bourgeat, and Dr. Leo Lebrat. During this tenure, my research was dedicated to tackling intricate challenges in medical imaging. This encompassed a broad spectrum of tasks like brain MRI segmentation, MRI data generation, deep learning model explainability, and pioneering work in fast cortical surface reconstruction from MRI using geometric deep learning models which received the prestigious WACV 2021 Best Paper Award.

Before joining CSIRO, I earned my Ph.D. in Computer Science at the Australian National University (ANU), under the guidance of Dr. Basura Fernando, Dr. Anoop Cherian and Prof. Stephen Gould. During my Ph.D, I was also associated with the Australian Centre for Robotic Vision (ACRV). Throughout this transformative academic journey, my focus centered on advancing the field of deep learning models for object and action recognition with minimal human supervision. More specifically, I explored learning strategies like knowledge distillation, self-supervised learning, and compositional learning to enhance the efficiency of recognition systems, pushing the boundaries of what can be achieved with limited human-labeled data.

Prior to joining ANU, I earned a Bachelor of Computer Engineering from the University of Pernambuco (UPE), Brazil, graduating in August 2014. In 2013, I was honored to receive the ‘Science Without Borders’ Scholarship from CNPQ, Brazil. This prestigious scholarship afforded me the opportunity to pursue studies as an exchange student in the B.Sc. Computer Science program at the Australian National University (ANU), Australia.

Finnaly, with a profound interest in Computer Vision, Pattern Recognition, and Machine Learning, my academic journey has been marked by diverse explorations. During my Ph.D., I dedicated my efforts to challenges in visual recognition with minimal human supervision, while my postdoctoral work delved into intricate problems in medical imaging. Currently, my focus is on the forefront of innovation—exploring modern methods for 3D reconstruction, including advancements like Neural Radiance Fields. My overarching goal is to design and construct systems that can efficiently extract meaningful interpretations from visual data while addressing tasks that are crucial and impactful for humans.