Ben Poole

Ben Poole is a Staff Research Scientist at Google DeepMind, based in San Francisco, California.1 He specializes in machine learning, computer vision, and computational neuroscience.1 Poole has an extensive background in research and academia:

Education and Early Career

• PhD in Computer Science from Stanford University (2011-2017)12
• BS in Computer Science and Cognitive Science from Carnegie Mellon University (2007-2011)1

Professional Experience

• Staff Research Scientist at Google DeepMind (June 2023 - Present)1
• Research Scientist at Google (June 2018 - June 2023)1
• Multiple internships at Google and DeepMind during his academic years1

Research Focus

Poole's work primarily revolves around deep generative models and understanding neural networks.23 His current focus is on generative models that enable new creative applications, including 3D reconstruction of real-world scenes from only a few photos.2

Notable Achievements

• Highly cited researcher with over 34,000 citations on Google Scholar4
• Key contributor to significant papers in machine learning, including work on score-based generative modeling, variational diffusion models, and text-to-3D generation4
• Co-author of "DreamFusion: Text-to-3D using 2D Diffusion," a highly cited paper in the field of 3D generation4

Ben Poole's work at Google DeepMind continues to push the boundaries of machine learning and artificial intelligence, particularly in the areas of generative models and neural network understanding.23