Dr. Ferenc Huszár

Biography

Ferenc Huszár is an Associate Professor of Machine Learning at the University of Cambridge, a position he has held since joining the Department of Computer Science and Technology in 2020. His research focuses on principled deep learning techniques, including optimization, generalization, representation learning, transfer learning, and meta-learning. He has a strong background in Bayesian machine learning, having completed his PhD under the supervision of Carl Rasmussen, Máté Lengyel, and Zoubin Ghahramani in the Engineering Department at Cambridge. Prior to his academic career, Ferenc worked in the London tech and startup sector, including a notable position at Magic Pony Technology, which specialized in deep learning-based image super-resolution. After a three-year stint as a data scientist, he returned to academic research while launching the blog inFERENCe in 2015 to share insights and developments in machine learning. His work engages with various topics such as generative adversarial networks, variational autoencoders, and the intricacies of deep learning literature, allowing him to contribute meaningfully to the ongoing discourse in the field.

Research Interests