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Research Areas
Reinforcement Learning
Data-efficient RL, active learning, exploration,
decision‑making for science and environment
Robotics
Scalable simulation, physics-informed reasoning, multimodal sensing, mobile manipulation
Hardware Design
Co-design for robot hardware and policy learning, design space exploration for AI accelerators
Team
Associate Professor
Global optimisation, co-design, reinforcement learning
Previously: Stanford, KTH, CMU, Google
Postdoc
(Encode Fellow)
Neurotechnology, bioengineering
PhD: Imperial College London
PhD Student
(Clare Hall College)
Multimodal sensing and robot mobility
MPhil: University of Cambridge
BSc: University of Edinburgh
PhD Student
(Lucy Cavendish College)
Co-design for AI accelerators
MSc: Imperial College London
BSc: University of Manchester
PhD Student
(Gonville and Caius College)
Resource-constrained on-device RL
BSc & MSc: University of Edinburgh
PhD Student
(Emmanuel College)
Physics Learning and Simulation
BSc: University of Toronto
PhD Student
(Downing College)
Optimization and RL for dexterity
BA, MEng: University of Cambridge
PhD Student
(Churchill College)
Hardware design and soft robotics
MSc: Stanford University
BEng: McGill University
