Department of Engineering / People / Research Group / Computational and Biological Learning - Group directory

Department of Engineering

Computational and Biological Learning - Group directory

Computational and Biological Learning - Group directory

Research Student

Academic Division: Information Engineering

Professor of Machine Learning

Academic Division: Information Engineering

Research Areas: Machine learning, probabilistic inference, Bayesian inference, non-parametric models, decision making under uncertainty

Research Student

Academic Division: Information Engineering

Research Associate in Machine Learning

Academic Division: Information Engineering

Senior Research Associate in Trustworthy Machine Learning

Academic Division: Information Engineering

Research Areas: Medical imaging, imaging processing, machine learning, Artificial intelligence, Deep learning, Inverse problems, Probabilistic machine learning, Signal Processing, Sampling theory, Signal Processing, Compressive Sensing, Transfer learning,

Research Student

Academic Division: Information Engineering

Research Student

Academic Division: Information Engineering

Research Associate in Machine Learning

Academic Division: Information Engineering

Research Student

Academic Division: Information Engineering

Research Student

Academic Division: Information Engineering

Professor of Machine Learning

Academic Division: Information Engineering

Research Areas: Machine learning, artificial intelligence, computer perception

Research Student

Academic Division: Information Engineering

Director of Research

Academic Division: Information Engineering

Research Areas: Scalability, interpretability, reliability, ethics of machine learning

Research Student

Academic Division: Information Engineering

Research Student

Academic Division: Information Engineering

Research Student

Academic Division: Information Engineering

Research Assistant in Computational Neuroscience

Academic Division: Information Engineering

Leverhulme Trust Early Career Fellow

Academic Division: Information Engineering

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