Reinforcement learning, active learning, exploration, decision-making, global optimization
Scalable simulation, physics-informed reasoning, mobile manipulation, multimodal edge computing
Co-design of robot hardware and policy learning, design space exploration for AI accelerators
Associate Professor
Global optimisation, co-design, reinforcement learning
Previously: Stanford, KTH, CMU, Google
Postdoc
(Encode Fellow)
Neurotechnology, bioengineering
PhD: Imperial College London
PhD Student
Multimodal sensing and robot mobility
MPhil: University of Cambridge
BSc: University of
Edinburgh
PhD Student
Co-design for AI accelerators
MSc: Imperial College London
BSc: University of Manchester
PhD Student
Hardware design and soft robotics
MSc: Stanford University
BEng: McGill University
MPhil Thesis Student
(Scientific Computing)
Physics Simulation
BSc: University of Edinburgh
