Personal profile
Biography
I am a postdoctoral researcher in Statistics, working under the supervision of Prof. Andrew Simpkin. My current research focuses on functional data analysis for sensor technologies, developing statistical methods and prediction models for large and complex datasets. More broadly, my work lies in applied statistics and data science to support research across diverse disciplines, including medicine, engineering, and health sciences. Prior to this, I completed my PhD at the University of Manchester, UK in 2022, where my research focused on time series analysis and forecasting.
Research Interests
My research interests are in functional data analysis, time series analysis and applied statistics. I’m currently working on multivariate functional data, with the goal of developing new methods to estimate functional principal component analysis for the derivatives of multivariate functional data. For future research, I’m interested in functional time series analysis, which bridges the gap between traditional time series methods and functional data analysis.
Education/Academic qualification
PhD
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Research output
- 3 Article
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Predicting functional results of percutaneous coronary intervention using machine learning modelling
Fezzi, S., Zhu, Y., Bargary, N., Ding, D., Scarsini, R., Lunardi, M., Leone, A. M., Mammone, C., Wagener, M., McInerney, A., Toth, G. G., Pesarini, G., Connolly, D., Trani, C., Tu, S., Burzotta, F., Ribichini, F., Simpkin, A. J. & Wijns, W., 15 Apr 2026, In: International Journal of Cardiology. 449, 134183.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Prediction of time to insulin initiation in gestational diabetes mellitus: a secondary analysis of the EMERGE trial
Zhu, Y., Alvarez-Iglesias, A., Egan, A. M., Smyth, A., Newman, C., Macias, D. A., Devane, D., Dunne, F., O'Donnell, M., O'Shea, P., Gillespie, P. & Simpkin, A. J., Jan 2026, In: Diabetes Research and Clinical Practice. 231, 113070.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Open Access -
Validation of machine learning angiography-derived physiological pattern of coronary artery disease
Zhu, Y., Fezzi, S., Bargary, N., Ding, D., Scarsini, R., Lunardi, M., Leone, A. M., Mammone, C., Wagener, M., McInerney, A., Toth, G., Pesarini, G., Connolly, D., Trani, C., Tu, S., Ribichini, F., Burzotta, F., Wijns, W. & Simpkin, A. J., 1 Jul 2025, In: European Heart Journal - Digital Health. 6, 4, p. 577-586 10 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Open Access5 Citations (Scopus)