Team
Team
Carla is a PhD student in the STOR-i (Statistics and Operational Research) DTC located at Lancaster University. Carla's project is jointly supervised by myself, Carolina Euan (Lancaster), and Ali Shojaie (University of Washington), and looks at advances in spectral analysis for neuroscience spike-train data.
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.
Please note: I would strongly encourage getting in touch with myself before starting an application.
The Department of Mathematics and Statistics operates a centralised application procedure. Department based funding opportunities can be found on the department website (here).
The STOR-i doctoral training centre (website) provides an alternative route to a funded PhD. With this route, you will need to complete a 1 year MRes degree prior to starting your PhD research. You do not choose your supervisor and project until the end of the first year.
The North-West Social Science Doctoral Training Partnership (website) provides a route for funding PhD's in social statistics. Social statistics is interpreted broadly, and includes economics. Note: there is high-demand for improving quantitative training in the social sciences, and quantitative topics often receive an enhanced stipend. Projects often include an external partner organisation (like the ONS) to provide impact, and can be structured as CASE scholarships, see here for more details. There are both traditional 3-year and 1+3 year routes for PhD study, the latter including one-year of masters study.
Kaveh (website) is 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.
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.