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Dr Richard E Turner

Dr  Richard E Turner

University Lecturer

Machine Learning

Statistics

Scalable algorithms

Computer Perception

Neuroscience

Hearing

Approximate inference

Non-parametric methods

Bayesian inference

Signal Processing

Computational Perception Group
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.

Departments and Institutes

Department of Engineering:

Keywords

Inverse 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