CV

University of Edinburgh

Data Science MSc

University of Groningen

Philosophy BA

University of Groningen

Astronomy BSc

Hautlieu School

IB Diploma (HL: Maths, Physics, Chemistry; SL: English Literature, Spanish, Economics)

Technical Lead - Data & Systems

re.je

• Build and maintain end-to-end data pipelines to process LiDAR point clouds, photogrammetric imagery, and GNSS data from raw capture through to project deliverables.
• Profile heterogeneous compute pipelines processing imagery and point clouds to characterise throughput, resource utilisation, and performance bottlenecks.
• Collaborate closely with hardware engineers to refine sensor configurations and improve data quality for downstream mapping and machine learning applications.
• Develop and apply computer vision and ML models to automate feature extraction and enhance the accuracy and useability of geospatial outputs.
• Conduct R&D into deep learning on point clouds and Gaussian splatting for high-fidelity 3D reconstruction in Architecture, Engineering & Construction (AEC) applications.
• Author reports communicating project progress and outputs to non-technical stakeholders.

Lead Machine Learning Engineer

xRI - Urban Robotics & Analytics

• Architect and implement robotics data pipelines enabling robust high-volume ingestion for analytics and model training from ROS robots.
• Design and run machine vision experiments.
• Design and implement schemas for both relational and graph (linked data) databases.
• Translate technical design, progress and trade-offs to various stakeholders.
• Provide technical leadership: architecture and project design, system and code reviews.

Research Engineer

xRI - Urban Robotics & Analytics

• Developed sensor drivers for ROS robots.
• Collaborated on the development of a system for deploying, monitoring and updating a ROS robot in the field.
• Part of a two-person team that specified, built, and managed a distributed storage cluster suited to petabyte-scale on-prem data needs.
• Set up a distributed compute layer across the on-prem servers for data processing.

Student Mentor

University of Groningen

• Provided academic and personal support to undergraduate students.

Physics Lab Teaching Assistant

University of Groningen

• Guided students through physics lab experimentation; enforced methodical data collection, graded reports and provided constructive feedback.

Linear Algebra Teaching Assistant

University of Groningen

• Led tutorials teaching linear algebra fundamentals; graded problem sets and exams with constructive feedback.

IslandView

• An island-wide geospatial dataset of Jersey captured with an in-house mobile mapping rig, combining LiDAR point clouds, photogrammetric imagery, and GNSS positioning.
• Automated feature extraction across the dataset using computer vision and ML models to improve the accuracy and useability of outputs.
• Large-scale image anonymisation pipeline using state-of-the-art open-source models to redact faces and license plates across the capture dataset.
• Funded by the Impact Jersey Innovation Programme.

Identification of highly boosted H→γγ decays with the ATLAS detector using deep neural networks

• Developed a deep neural network jet tagger to identify highly boosted H→γγ decays in ATLAS data.
• Implemented an adversarial mass-decorrelated classifier reducing mass-sculpting bias in signal discrimination.
• Published research on the CERN Document Server.
• Presented approach to ATLAS and CMS working groups at CERN.