About
Rob Fergus is a Professor of Computer Science at New York University, affiliated with the Courant Institute of Mathematical Sciences and the CILVR lab. He holds a D.Phil. from the University of Oxford, M.Sc. from Caltech, and B.A./M.Eng. from the University of Cambridge. His research focuses on machine learning, deep learning, and computer vision, with applications in generative models, computational photography, and biological structure prediction. Fergus has contributed to seminal works in deblurring, image segmentation, and protein sequence analysis. He previously served as Research Director at Facebook AI Research and is a leader in multimodal and embodied AI research.
Education: D. Phil., Electrical Engineering, University of Oxford (2005); M.Sc., California Institute of Technology (2002); B.A./M.Eng., University of Cambridge (2000).
Research Interests: Deep Learning, Generative Models, Computer Vision, Reinforcement Learning, Protein Structure Prediction, and Multimodal Systems. His work bridges theoretical advancements with practical applications like computational photography and agent-based reasoning.
