معرفی
Richard Zemel is the Trianthe Dakolias Professor of Engineering and Applied Science in the Department of Computer Science at Columbia University. He leads the NSF AI Institute for ARtificial and Natural Intelligence (ARNI). His research focuses on machine learning, artificial intelligence, statistics, neuroscience, and cognitive science with recent emphasis on robust AI, few-shot learning, algorithmic fairness, and continual learning.
Education details are not explicitly listed, but his career includes roles as director of an NSF institute and extensive academic contributions. His research group includes active and former students/postdocs now in academia and industry roles at institutions like Google, DeepMind, NVIDIA, and universities globally.
- Key Research Themes: Fairness in AI, causal inference, generative models, and neural network architectures.
- Labs/Teams: ARNI Institute (NSF-funded), Zemel Research Group at Columbia.
Advising and grants include supervision of over 40 students/postdocs and leadership in multi-institutional AI initiatives. His work spans theoretical foundations to real-world applications in healthcare, ethics, and computational neuroscience.
