Team
Team
Kai is a PhD student based in the School of Mathematical Sciences, he is sponsored under the North-West Social-Sciences Doctoral Training Partnership (NWSS-DTP) and co-supervised with Ivan Svetunkov (Management Science). He is working with the ONS on nowcasting and constructing novel socio-economic indicators using high-dimensional time-series data.
Ziyan is a PhD student sponsored under the North-West Social-Sciences Doctoral Training Partnership (NWSS-DTP) and based in the Department of Economics (co-supervised by Steffano Soccorsi). He is interested in methods for parameter tying (working with data series of differing lengths) and federated learning applied to econometric models.
I am open to supervising PhD students interested in developing methodology in areas relating to high-dimensional statistics/econometrics, this includes both algorithmic and theoretical investigation. I am also open to projects in applied statistics, where there is a strong motivation to develop/understand a set of methods. Such projects will generally be in partnership with a third party organisation, and will be co-supervised with a domain expert. I have application interests in neuroscience, astronomy, and economics/finance.
Carla was a PhD student in the STOR-i (Statistics and Operational Research) DTC located at Lancaster University. Carla's project was jointly supervised by myself, Carolina Euan (Lancaster), and Ali Shojaie (University of Washington), and looked at advances in spectral analysis for neuroscience spike-train data.
Kaveh (website) was working as a senior research associate on the ESRC funded project "High-Dimensional Temporal Disaggregation", click here for more details. His PhD looked at developing exact statistical tests and extending existing sign-based testing paradigms. He is interested in assessment of causal relations between time-series and high-dimensional econometrics.Â
Luke was a PhD student in the STOR-i (Statistics and Operational Research) DTC located at Lancaster University and worked in collaboration with the Office for National Statistics (ONS) looking at the task of temporal disaggregation in a high-dimensional setting. He published several papers out of his PhD, and now works as a government data-scientist.
Tak-Shing (website) is joining as a senior research associate on the EPSRC funded "Net-Zero Insights (net0i)" project, click here for more details. His research interests include cognitive musicology, signal processing, and machine learning. He has published more than 15 papers in refereed journals and conferences with over 400 citations. His prior industrial experience was in Internet of things, health informatics, and sports analytics.