Our People
Meet the Data Science research team below.
Giovanni Montana
Professor of Data Science
International Manufacturing Centre, 3rd Floor
Recent publications
Profile
Yijun Quan
Research Fellow
Working on deep generative models for synthesising videos and real-time applications in manufacturing; funded by EPSRC.
Jeifei Wei
Research Fellow
Working on computer vision solutions for breast cancer risk prediction using mammograms. Funded by CRUK.
Yue Jin
Research Fellow
Working on multi-agent and off-line deep reinforcement learning; funded by UKRI.
Recent publications
Profile
Sharlin Utke
PhD Student (Statistics)
Working on multi-agent and relational deep reinforcement learning. Co-supervised by Jeremie Houssineau.
Mingqi Gao
PhD Student (WMG)
Working on deep learning for video segmentation. Co-supervised by Jungon Han.
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.
Ting Zhu
PhD Student (Statistics)
Working on decentralised multi-agent deep reinforcement learning. Co-supervised by Jeremie Houssineau.
Felisha Tulus
PhD Student (Statistics)
Working on off-line deep reinforcement learning methods. Co-supervised by Jeremie Houssineau
Nati Neggatu
PhD Student (WMG)
Working on off-line multi-agent deep reinforcement learning methods. Co-supervised by Jeremie Houssineau.
Charlie Hepburn
PhD Student (MathSys)
Working on off-line deep reinforcement learning and imitation learning methods.
David Ireland
PhD Student (WMG)
Working on deep reinforcement learning methods to solve combinatorial optimisation problems.
Ruggiero Santeramo
PhD Student (WMG)
Working on deep reinforcement learning methods and specifically learning from video demonstrations.
George Watkins
PhD Student (MathSys)
Working on relational reinforcement learning and its applications. Co-supervised by Juergen Branke.
Matthew MacPherson
PhD Student (MathSys)
Working on deep generative models for understanding and manipulating medical images.
Mianchu Wang
PhD Student (WMG)
Working on deep reinforcement learning and specifically goal-conditional policies. Co-supervised by Yue Jin.
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.
