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Academic Researcher

AstraZeneca

Industrial PhD combining cheminformatics, machine learning and quantum chemistry methods to improve reactivity prediction methods.

Master's Research Student

Sormanni Lab, University of Cambridge

Research project focused on developing rigid-body protein-protein docking methods using Rust.

• Rust
• Data Analysis
• Computational Biology

Software Engineering Intern

TPP

Summer intership working on full-stack clinical software development.

• Object-Oriented Programming
• Agile Methodologies
• Team Collaboration
• SQL

PhD

University of Strasbourg

Cheminformatics

• Predicting organic reaction conditions using artificial intelligence tools.

MSci (Hons)

University of Cambridge

Natural Sciences (Chemistry)

• Specialised in Computational, Medicinal and Physical-Organic Chemistry.
• Ranked 2nd in year.
• Scholarship for academic excellence
• Prizes for highest mark in Physical Chemistry exams and academic excellence.

BA (Hons)

University of Cambridge

Natural Sciences

• Specialised in Chemistry, additional courses in Mathematics covering Multivariate and Vector Calculus, Linear Algebra, Group Theory, Probability Theory and Statistics.
• Ranked 5th in year cohort in final year exams.
• Scholarships in all three years for academic excellence.
• Prize in all three years for exceptional exam performance.

Predicting reaction conditions: a data-driven perspective

RSC Chemical Science

A crtical overview and perspective on the use of machine learning to predict reaction conditions in organic synthesis.