Profiles
Stephanie Riley
School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)
Biography
Biography
PhD researcher in Statistics
SUM:UP tutor
Qualifications
MSc Statistics - University of Glasgow (2020)
BSc (Hons) Mathematics - University of Plymouth (2019)
Professional membership
Fellow of the Royal Statistical Society
Teaching
Teaching
Teaching interests
SUM:UP - I am a tutor at the university's SUM:UP Mathematics and Statistics drop-in.
MATH501 Modelling and Analytics for Data Science - I assist in computer labs for this module where students are introduced to commonly implemented regression based and machine learning models in data science.
MATH513 Big Data and Social Network Visualization - I assist in computer labs where students are introduced to techniques for analysing big data in R.
BIOM5005 Project Design and Development - I taught the Statistics lectures in 2021/22 to MSc Biomedical Science students to introduce them to commonly used statistical methods used to analyse biomedical data.
Research
Research
Research interests
I am interested in developing statistical methodology with applications in medicine. My PhD research focuses on developing and validating clinical prediction models for semi-competing survival outcomes in kidney transplant recipients.
Grants & contracts
London Mathematical Society Early Career Researcher Travel Grant
Publications
Publications
Riley S, Zhang Q, Tse W-Y, Connor A and Wei Y (2022) Using Information Available at the Time of Donor Offer to Predict Kidney Transplant Survival Outcomes: A Systematic Review of Prediction Models. Transpl Int 35:10397. doi: 10.3389/ti.2022.10397 Open access