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Charlotte Wayment

DPhil Student - HEAT & PNPL

Charlotte joined the ORI in 2026 as a DPhil student on the Autonomous Intelligent Machines and Systems (AIMS) CDT. She works across the Human Enhancing and Augmenting Technology (HEAT) Lab, supervised by Dr Digby Chappell, and the Parker Jones Neural Processing Lab (PNPL), supervised by Dr Oiwi Parker Jones.

Her research focuses on uncertainty-aware control for body-interfacing assistive devices. She investigates how multimodal biosignals can be modelled to support robust and interpretable control, particularly in settings where signal quality, user state, and task demands vary over time. Drawing on signal processing, machine learning, and assistive robotics, she develops systems that adapt to the needs of their users.

Prior to joining Oxford, Charlotte completed an MSc in Data Science at Durham University and an MA (Hons) in Architecture at the University of Edinburgh, graduating first in her cohort in both. Alongside this, she worked as a software and ML engineer on constraint-based optimisation in safety- and reliability-critical production environments.