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R05

Yijun Quan

Research Fellow

Working on deep generative models for synthesising videos and real-time applications in manufacturing; funded by EPSRC.

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R10

Jeifei Wei

Research Fellow

Working on computer vision solutions for breast cancer risk prediction using mammograms. Funded by CRUK.

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r20

Alex Beeson

PhD Student (Warwick Medical School)

Working on off-line deep reinforcement learning methods and applications in digital healthcare. Supervised by Keith Cooper and Gavin Perkins.

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r25

Sharlin Utke

PhD Student (Statistics)

Working on multi-agent and relational deep reinforcement learning. Co-supervised by Jeremie Houssineau.

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r30

Ting Zhu

PhD Student (Statistics)

Working on decentralised multi-agent deep reinforcement learning. Co-supervised by Jeremie Houssineau.

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r35

Mingqi Gao

PhD Student (WMG)

Working on deep learning for video segmentation. Co-supervised by Jungon Han.

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r40

Felisha Tulus

PhD Student (Statistics)

Working on off-line deep reinforcement learning methods. Co-supervised by Jeremie Houssineau

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r45

Nati Neggatu

PhD Student (WMG)

Working on off-line multi-agent deep reinforcement learning methods. Co-supervised by Jeremie Houssineau.

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r50

Charlie Hepburn
PhD Student (MathSys)

Working on off-line deep reinforcement learning and imitation learning methods.

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r55

David Ireland

PhD Student (WMG)

Working on deep reinforcement learning methods to solve combinatorial optimisation problems.

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r60

Matthew MacPherson

PhD Student (MathSys)

Working on deep generative models for understanding and manipulating medical images.

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r65

Ruggiero Santeramo

PhD Student (WMG)

Working on deep reinforcement learning methods and specifically learning from video demonstrations.

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r70

Mianchu Wang

PhD Student (WMG)

Working on deep reinforcement learning and specifically goal-conditional policies. Co-supervised by Yue Jin.

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r75

George Watkins

PhD Student (MathSys)

Working on relational reinforcement learning and its applications. Co-supervised by Juergen Branke.

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r80

Yuanyi Zhu

PhD Student (MathSys)

Working on deep learning methods for the automated generation of radiological reports from medical images. Co-supervised by Maria Liakata.

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