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Principal Data Scientist

Culham Centre for Fusion Energy, UK Atomic Energy Authority

• Working within the Machine Learning and Visualisation at UKAEA to produce solutions and tools to advance the UK's fusion energy programme.

Senior Data Scientist

Scientific Computing Department, STFC

• I work to apply machine learning and deep learning techniques to help solve a wide range of complex problems faced by scientific facilities at STFC and the wider UK community.
• Project: Developed an AI ready platform for FAIRly curating historical data from the MAST tokamak. This is a joint project with CCFE.
• Developed the SciML benchmark suite for scientific machine learning as part of the BASE I Excalibur Project. Benchmarks from this work were contributed as part of MLCommons. I am involved in the BASE II project to expand to Exascale capability.
• Project: Pulse shape discrimination and pile-up recovery in organic scintillator detectors which demonstrated a potential 5-10% gain in detector efficiency. This project was joint with ISIS and STFC Technology department.
• Project: Automatically identifying bad particle picks in Cryo-Eletrcon Microscopy data at Diamond Light Source using VAEs and CNNs.
• Project: Predicting damaged optics from diagnostic near field images in high energy laser physics for the Gemini laser at the Central Laser Facility using autoencoders for anomaly detection.

Scientific Software Engineer

ISIS Neutron & Muon Source, STFC

• Worked to develop and maintain code bases for the reduction and analysis of diffraction data from the ISIS facility.
• Led an agile team of 4 people within the Mantid project to develop diffraction analysis tools.
• Secondment to SCD computational physics group: Developed code for running & analyzing the results of DFT (CASTEP) & DFTB+ calculations for finding the muon implantation site in organic crystal structures.
• Secondment to ISIS controls group: Wrote several new device drivers using EPICS, ported control scripts from an in-house language to Python, and developed test cases & emulators for many devices from temperature gauges to sample stages.

M.Eng

University of Aberystwyth, Aberystwyth, UK

Software Engineering

• Mathematics for Computer Science
• Computer Vision
• Machine Learning
• Robotics
• Agile Methodologies
• C++ Programming
• C Programming