Current Members
Xinle Tian (2021-): Xinle is working on sparse statistical modelling and inference in high-dimensional situations. The application of interest in the project will be neuroscience, in particular detecting changes in structure in developmental and post-rehabilitation data. He is co-supervised by Matt Nunes. For more details see here .
Ruchen Liu (2021-): Ruchen is working on developing novel approaches to differential privacy, motivated by problems arising in the healthcare setting. Ruchen is part-funded by the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBA CDT ), a University of Bath Global Doctoral Scholarship and Novartis (Basel, Switzerland). He is co-supervised by Matt Nunes . For more details see here .
Sinyoung Park (2022-): Sinyoung is funded by the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBA CDT ) and is working on developing new tools in graph-based signal analysis. She is co-supervised by Matt Nunes . For more details see here .
Past Members
Josh Inoue (2020-2025): Josh worked on developing novel approaches to problems arising in spatio-temporal modelling. Josh was part of the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa CDT ) and was co-supervised by Matt Nunes.
Dan Miles (2020-2024): Dan worked on developing multiple graphical structure estimation methods for data with network structure and covariates. Dan is based within the SAMBa Centre for Doctoral Training (SAMBA CDT) . He was co-supervised by Vangelis Evangelou.
Jordan Taylor (2019-2024): Jordan worked on developing machine learning and network methods for high dimensional genetic data. Jordan is based within the SAMBa Centre for Doctoral Training (SAMBA CDT ). He was co-supervised by Matt Nunes and Lauren Cowley. Jordan is currently working as a AI/ML engineer at GSK .