CV
Education
- University of EdinburghSep 2022 – Sep 2023Data Science MSc· 2023
- University of GroningenSep 2020 – Jul 2022Philosophy BA· 2022
- University of GroningenSep 2017 – Jul 2021Astronomy BSc· 2021
- Hautlieu SchoolSep 2013 – Jul 2017IB Diploma (HL: Maths, Physics, Chemistry; SL: English Literature, Spanish, Economics)
Employment
- Data ScientistDec 2025 – PresentHEST
- 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.
- 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.
- Lead Machine Learning EngineerJul 2024 – November 2025xRI - 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 EngineerNov 2023 – Jul 2024xRI - 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 MentorSep 2021 – Jun 2022University of Groningen
- Provided academic and personal support to undergraduate students.
- Physics Lab Teaching AssistantSep 2021 – Nov 2021University of Groningen
- Guided students through physics lab experimentation; enforced methodical data collection, graded reports and provided constructive feedback.
- Linear Algebra Teaching AssistantNov 2020 – Feb 2021University of Groningen
- Led tutorials teaching linear algebra fundamentals; graded problem sets and exams with constructive feedback.
Key Projects
IslandView
HEST, island-wide mobile mapping of Jersey
- 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
MSc Dissertation (3 months)
- 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.