About

Noam Brown is a highly accomplished Research Scientist with over 7 years of experience in the field of Artificial Intelligence. Currently, he is associated with Facebook AI as a Research Scientist, where he is responsible for developing and implementing cutting-edge AI algorithms to solve complex real-world problems. Noam has a strong academic background, having completed his Doctor of Philosophy (Ph.D.) in Computer Science from Carnegie Mellon University in 2020. Prior to this, he also earned a Master of Science (MS) degree in Robotics from the same university in 2014. He completed his Bachelor's degree in Mathematics and Computer Science from Rutgers University in 2008. Noam's expertise lies in the development of AI algorithms that can learn and adapt to new environments, making them highly versatile and effective in solving a wide range of problems. His research work has been published in several top-tier conferences and journals, including the International Conference on Machine Learning (ICML), the Conference on Neural Information Processing Systems (NeurIPS), and the Journal of Machine Learning Research (JMLR). Before joining Facebook AI, Noam worked as a Research Scientist Intern at DeepMind, where he developed state-of-the-art AI algorithms for game playing. He also worked as a Graduate Research Assistant at Carnegie Mellon University, where he contributed to several research projects related to robotics and AI. Noam is highly skilled in various programming languages and tools, including Python, TensorFlow, and PyTorch. He is also proficient in machine learning and deep learning techniques, including reinforcement learning, adversarial learning, and generative models. Overall, Noam is a highly accomplished Research Scientist with a strong academic background and extensive experience in AI research and development. He is passionate about advancing the field of AI and developing innovative solutions to complex real-world problems.