I am a Computer Science PhD student in PaccanaroLab at Royal Holloway, University of London. Our group develops novel computational methods for answering biologically motivated questions. I am also a visiting researcher at Fundação Getulio Vargas in Rio de Janeiro, Brazil.
My research focuses on methods for learning meaningful latent vector representations of nodes in a network. The ongoing work examines biases in our knowledge of network links and develops procedures to limit the effect of these biases on parameter estimation. By learning debiased node representations, we can achieve better performance in a variety of downstream tasks, such as node classification.
I am also part of a collaboration exploring the use of machine learning on data from the Framingham Heart Study. The aim of the project is to better understand and predict the prognosis of cardiovascular disease.
My research interests include graph representation learning, link prediction, biological networks (especially drug-drug interaction networks), recommender systems, reducing bias in parameter estimation, contrastive learning, MCMC sampling and machine learning application in biology and health.
Prior to my doctoral training, I was a data scientist at the Universities and Colleges Admissions Service (UCAS), specialising in forecasting models and data products. I used statistical modelling to create accurate and understandable forecasting reports for a variety of stakeholders, including policy makers and university recruiters.
- PhD, Computer Science (2019 – ), Royal Holloway, Unversity of London
- MSc, Machine Learning (2018 – 2019), Royal Holloway, University of London
- BA, Economics (2012 – 2015), University of Cambridge
Scholarships and Awards:
- College Studentship (2019-2022), Department of Computer Science at Royal Holloway, University of London
- Dr Roy Edwards Scholarship (2020)
- Best MSc Graduate of the Year in memory of Professor Alexey Chervonenkis, Department of Computer Science at Royal Holloway, University of London
- Outstanding Project Prize (MSc), Department of Computer Science at Royal Holloway, University of London