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Marilucia Pertile is a distinguished Senior Research Scientist at NVIDIA, specializing in the fields of generative AI, computer vision, and machine learning. She is deeply involved in pioneering research to develop advanced AI models capable of understanding, generating, and manipulating complex visual data. Her work focuses on creating highly realistic and controllable image and video synthesis technologies, with significant applications in creative tools, virtual world creation, digital content, and beyond. Marilucia holds a Ph.D. from the University of Campinas (UNICAMP), Brazil, and has a strong publication record in top-tier academic venues, reflecting her impactful contributions to the AI community. She is passionate about pushing the boundaries of AI to solve challenging real-world problems and enhance human creativity.
Marilucia Pertile's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Significantly contributed to the development and advancement of state-of-the-art generative models at NVIDIA, including diffusion models and GANs (Generative Adversarial Networks), enhancing capabilities in realistic image and video synthesis, and 3D content generation.
Authored and co-authored numerous influential research papers presented at leading AI and computer vision conferences such as CVPR (Conference on Computer Vision and Pattern Recognition), NeurIPS (Neural Information Processing Systems), ICCV (International Conference on Computer Vision), ECCV (European Conference on Computer Vision), and SIGGRAPH.
Earned her doctorate from the University of Campinas (UNICAMP), Brazil, with a research focus on machine learning and computer vision, providing a strong theoretical and practical foundation for her subsequent groundbreaking work in the industry.
Plays a crucial role in research and development for NVIDIA's AI platforms and tools, contributing to technologies that power a wide range of applications from creative arts to scientific simulation.
Frequently invited to present her research findings and insights at academic workshops, industry conferences, and seminars, sharing her expertise on the latest advancements in generative AI and computer vision.
Fundação Getulio Vargas - Year 2019
Universidade Positivo - Year 2014
ABRACEM Associação Brasileira de Coaching Executivo e Empresarial - Year 2013
FAE Centro Universitário - Year 2004
Centro Universitário Campos de Andrade - Year 2000
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