Research
I am broadly interested in the processes that govern the exit from pluripotency and direct differentiation trajectories during early development. With a background in mathematics, I am keen to leverage quantitative and computational approaches to study these transitions at the cellular and molecular level. For my MPhil research in the Watson group, I analysed single-cell RNA-seq datasets and applied reference-based deconvolution strategies to investigate how metabolic insults shape trophoblast development in the mouse placenta. This work established a link between transcriptional changes, altered cell composition, and measurable fetal growth outcomes. Moving forward, I aim to integrate computational and experimental approaches, developing hands-on expertise in a clinical embryology setting to address developmental questions from multiple angles.
