Curriculum vitae

Machine Learning Engineer, SandboxAQ

• Small-molecule property prediction, ML engineering for drug discovery, protein language modelling.

Research Scientist: Protein Engineering , AbCellera Biologics

Canada

• Developed AI and simulation-driven workflows for selection and engineering of antibodies, targeting discovery of viable therapeutic molecules. Led team training, deployment and execution for >30 clinical targets, spanning early screening to final delivery.
• Worked cross-functionally to implement data architecture and automated processing pipelines supporting integration and downstream analysis of lab automation data in internal databases.
• Engaged directly with major pharmaceutical partners to understand their needs, translate them into actionable selection strategies and deliver therapeutic candidate molecules, securing key contract milestones.

Industrial Research Fellow , University of Cambridge and Happy Electron

UK

• Designed specialised machine learning interatomic potentials for energy materials, offering mechanistic insights into experimentally observed physical properties.
• Led collaborations with international experimental research teams, connecting modelling with practical applications.

PhD Physics , University College London

UK

• Primary research on the development of machine learning techniques for atomistic modelling. Created GAP-20, a world-leading machine learning atomistic potential for carbon, adopted widely in academia and industry, where selected applications include structure searching, phase-diagram prediction and studying graphitisation.
• Contributed to creating a machine learning framework for modelling complex solid–liquid interfaces, facilitating the rapid and robust development of accurate simulation models.
• Led cross-disciplinary collaborations between UCL and experimentalists at the National Graphene Institute, resulting in high-impact publications (Nature and Nature Communications).
• Presented invited and contributed talks at international conferences. Won the Thomas Young Centre best poster prize in 2018 and 2019. Research featured on the front cover of UCL's Physics and Astronomy Annual Review 2019–20.

Research Placement (full time) , DSM Speciality Resins

Zwolle, Netherlands

• Developed a 96% bio-renewable alternative to traditional petrochemical-based polymer alkyd coatings.

PhD Physics , University College London

UK

• Thesis: "Accuracy and transferability in machine learning potentials for carbon".
• Recipient: London Centre for Nanotechnology PhD scholarship.
• Fundraiser and organiser, "Hermes Summer School 2018". Raised £16,000 funding from UK/EU sources.

Thesis ↗

MSc Chemistry, 1st Class Honours , University of Warwick

UK

• Master's research project in theoretical quantum chemistry for energy transfer in light-harvesting proteins for solar cells.
• Recipient: Salters' Institute National Graduate Prize for Chemistry, Warwick Enterprise Award, Warwick Undergraduate Research Scholarship.

International Baccalaureate, 39 points

• Higher level subjects: maths, physics, chemistry.