PhD candidate at ICMC-USP, advised by Moacir Ponti. His main areas of expertise are computer vision and multimodal representation learning, with a current focus on 3D Vision-Language Models.
PhD researcher at ICMC-USP, advised by Afonso Paiva and Tiago Novello. He works on 3D/4D reconstruction from images, computer vision, and geometric modeling, with a current focus on 3D Gaussian Splatting and geometrically consistent surface extraction.
Associate Professor at the Institute of Mathematics and Computer Sciences of the University of São Paulo (ICMC-USP). He holds a Ph.D. in Applied Mathematics from PUC-Rio (2007) and an M.Sc. in Mathematics from IMPA (2003). His research covers computer graphics, visualization, image processing, computational physics, and data science.
Assistant Professor of Computer Science at Bowdoin College. He is broadly interested in unsupervised problems in computer vision and machine learning, using discrete optimization, statistics, and deep learning for image segmentation and clustering.
Assistant Professor at IMPA, member of the Visgraf Lab, and visiting assistant professor at Stanford, working with Leonidas Guibas. His research spans computer vision, computer graphics, and machine learning, with a focus on implicit neural representations, neural rendering, and geometry processing.
Associate Professor of Computer Science at ICMC-USP and Machine Learning Expert at Mercado Livre. His research focuses on deep and representation learning across multiple data modalities, including image, audio, speech, and tabular data.