I am a PhD student at Ilan Davis lab at the Department of Biochemistry at the University of Oxford. I am under the supervision of Ilan Davis and Stephen Taylor and I am collaborating with Charlotte Deane head of the Department of Statistics at the University of Oxford.
I am funded by the UKRI BBSRC and by Zegami, an Oxford University spin out company for data visualisation and pattern recognition using artificial intelligence.
Previously, I studied Physics at the University of Cambridge where I obtained a MSci and a BA.
I am an avid runner and I love participating in running events and running outdoors.
My research interests lie in the application of machine learning algorithms on answering complex biological questions related to small and sparse biological datasets.
I study how gene expression in tissue can provide insights into post-transcriptional regulation. To do so, I use machine learning to uncover patterns in a combination of data including, mRNA and protein expression data, gene features and pathway information.
Checkout our preprint Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion on bioaRxiv.
I was a winner of the competition “What is the biggest challenge or greatest opportunity for AI in the future?”. I presented my idea on the AI@Oxford conference in September 2019.
I was selected to attend MLSS 2019 (Machine Learning Summer School) where I presented a poster on my work.