Bio

I am a PhD researcher in PaccanaroLab at Royal Holloway, University of London. Our group develops novel computational methods for answering biologically motivated questions.

My doctoral research focuses on deep learning for drug-drug interaction prediction. I develop network embedding techniques to provide insights and predictions about drug interactions.
The motivation of the research is to reduce morbidity and mortality resulting from the use of multiple drugs simultaneously.

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.

Education:

  • 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

Affiliations:

Department of Computer Science at Royal Holloway, University of London
Fundação Getúlio Vargas
Centre of Gene and Cell Therapy