Annabel Kyler is a distinguished Principal AI Research Scientist at NVIDIA, specializing in generative AI, particularly for 3D content creation and neural rendering. Her work is at the forefront of developing innovative machine learning models that bridge the gap between 2D and 3D visual data, aiming to revolutionize how digital assets are generated and manipulated for graphics, virtual reality, and metaverse applications. Prior to NVIDIA, she made significant contributions to computer vision and machine learning during her research tenure, including her doctoral studies at the University of Cambridge. Annabel is recognized for her deep expertise in deep learning architectures, differentiable rendering, and applying AI to complex visual problems.
Annabel Kyler's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leading and contributing to groundbreaking research at NVIDIA in the field of 3D generative models, including development of novel techniques for controllable and high-fidelity 3D object and scene synthesis from various inputs (e.g., text, images).
Authored and co-authored numerous impactful research papers presented at premier AI and computer graphics conferences such as NeurIPS, CVPR, ICCV, and SIGGRAPH, advancing the state-of-the-art in neural rendering and generative modeling.
Successfully completed her doctoral research at the University of Cambridge, focusing on cutting-edge topics at the intersection of computer graphics, computer vision, and machine learning, providing a strong foundation for her current work.
Plays a vital role in developing core AI technologies and models that power NVIDIA's platforms and initiatives in areas like digital twins, Omniverse, and AI-driven content creation tools.
Pepperdine University - Year 2001
Fairview High School - Year 1998
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Crusoe Energy Systems is a company focused on reducing natural gas flaring and its associated environmental impact by using stranded methane to power modular data centers for energy-intensive computing. Their Digital Flare Mitigation® systems capture otherwise wasted flared gas to power these compute resources, thereby reducing emissions and providing a cost-effective solution for cloud computing, AI research, cryptocurrency mining, and other high-performance computing needs. They aim to align the future of computing with the future of the climate.
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