University Lecturer
Machine Learning
Statistics
Scalable algorithms
Computer Perception
Neuroscience
Hearing
Approximate inference
Non-parametric methods
Bayesian inference
Signal Processing
Computational & Biological Learning Lab
Department of Engineering
Trumpington Street
Cambridge CB2 1PZ
Biography:
Richard E. Turner carried out his undergraduate degree at the University of Cambridge reading Natural Sciences and specialising in Physics. He then studied for his PhD in Computational Neuroscience and Machine Learning at the Gatsby Computational Neuroscience Unit, UCL. Following his PhD, he held an EPSRC Postdoctoral research fellowship which he spent at both the University of Cambridge and the Laboratory for Computational Vision, NYU, USA. He now holds a Lectureship in the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge.
Research Themes
Departments and Institutes
KeywordsInverse Problems ; Bayesian methods ; Monte Carlo methods ; Signal Processing ; Neural Networks ; Big Data ; Variational inference ; Deep Learning ; Decision-making ; Adaptive Learning ; Time Series ; Mathematical Neuroscience ; Healthcare ; Algorithms ; Independent Components Analysis ; Gaussian processes ; Image analysis ; Machine Learning ; Image processing ; Neuroscience |