Ferenc Huszár

Professor, Department of Computer Science and Technology, University of Cambridge

Prof. Ferenc Huszár is a distinguished academic in the field of machine learning, currently serving as a Professor at the Department of Computer Science and Technology, University of Cambridge. He completed his PhD in Machine Learning at the Cambridge University Engineering Department in 2013, focusing on Bayesian inference, nonparametric methods, and kernel methods. Following his doctoral studies, Professor Huszár gained valuable industry experience, including a tenure as Principal Research Scientist at the deep learning startup Magic Pony Technology, where the team focused on applying deep learning to the problem of lossy image and video compression.

In 2020, he joined the University of Cambridge as a Senior Lecturer in Machine Learning. His research interests encompass the fundamental principles of machine learning, with a particular emphasis on modern deep learning methods. His research themes include optimisation, generalisation and transferability in deep learning, mathematical models of emergent behaviours, unsupervised representation learning, probabilistic foundations, and causal inference and identifiability.

In addition to his academic role, Professor Huszár has contributed to industry as a Staff Research Scientist at Twitter, advising the company's Machine Learning Ethics, Transparency, and Accountability (META) team.