Algorithms and knowledge discovery, genomics, and high-performance computing. I'm particularly interested in scalable computational models that extract structure and meaning from complex biological and clinical datasets.

I am currently a PhD researcher in Biostatistics and Health Informatics at King's College London, supervised by Dr. Nicholas Cummins, Dr. Srinivasan Vairavan (J&J), and Professor Richard Dobson.

Before starting my PhD, I completed an MSc in Genomic Medicine at the University of Oxford, where I developed [Phylokit], a scalable toolkit for phylogenetic analysis of large genomic datasets. I also hold a BSc in Computer Science from King's College London, where I collaborated with the Francis Crick Institute on an agent-based model of angiogenesis, exploring how cellular protrusions influence vascular pattern formation.

Beyond my degree projects, I've contributed to [Tskit], an open-source library for population-scale genealogy analysis, conducted research on spatial transcriptomics data using graph neural networks with the Whitehead Institute, and worked on time-series imputation and class imbalance problems in healthcare data [PyPOTS].

My work integrates algorithm design, genomics, and high-performance computing, aiming to create scalable, interpretable systems for biomedical knowledge discovery.

Hiking, making (and drinking) coffee, fixing things that don't work, assembling things that come in too many parts, and reading philosophy—especially when I should be debugging something else.