Completed an experimental chemistry degree with a thesis on DNA double helix stability using molecular dynamics simulations. Focused on computational methods for free energy calculations and gained expertise in advanced analytical techniques.

Conducted polymer science research that resulted in a granted patent (WO2021175730A1). Developed novel polymer synthesis methods and characterized materials using advanced analytical techniques including rheology, spectroscopy, and mechanical testing. Received the highest grade ever awarded to a research student by the company.

Completed MPhil with distinction grades on research projects in chromatin compaction and oligonucleotide modelling. Thesis on computational physics of chromatin phase separation received Honours grade. Developed expertise in C++ for scientific computing, software design, and coarse-grained molecular modelling techniques.

Thesis: "Dissecting the Architectural Properties of Chromatin And The Influence Of The H1 Linker Histone On Chromatin Regulation."

Developed coarse-grained chromatin models using Python and C++ to study chromatin architecture and phase separation. Created custom enhanced sampling techniques for LAMMPS simulations and collaborated with experimental groups, resulting in publications in preparation on the role of H1 linker histones in chromatin organization. Studied under Professor Rosana Collepardo, associated with Chemistry, Physics and Genetics departments.

Led the foundational development of the Alchemite™ Oligonucleotide solution, expanding the ML platform into oligonucleotide research. Built specialized extensions for novel data types and workflows, enabling advanced modelling of synthesis, purification, and analytical processes. Delivered 60+ live demonstrations/trainings to scientific audiences, translating complex ML outputs into actionable insights.