Current Research Associates

Amandine Pierrot

Amandine is a Research Associate funded by the EPSRC-funded NeST Programme Grant. She is working on new models and analysis techniques for dynamic network data, applied to challenges arising from industry.
Cangxiong Chen

Cangxiong is a Mathematical Innovation Research Associate at the Institute for Mathematical Innovation (IMI) at the University of Bath working on a EPSRC-funded project developing new methods for differential privacy in machine learning using compressed sensing, applied to the creative industry. The project is in collaboration with Clarice Poon (University of Warwick) and Neill Campbell from the University of Bath, and working with the British Board of Film Certification.

Current PhD students

Chiara Boetti (started 2023)

Chiara is funded by the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa CDT) and is working on developing new models and associated inference methods for network-structured data, aligned to the EPSRC-funded NeST Programme Grant.
Aaron Forendell (started 2022)

Aaron is partially funded by Renishaw working on novel signal processing methods applied to metal alloy analysis in industrial manufacturing applications and efficient biosensor data analysis for prosthesis improvement. He is co-supervised by James Foster (Maths) and Ben Metcalfe (Electronic and Electrical Engineering).
Sinyoung Park (started 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 Sandipan Roy.
Na Eun Kim (started 2022)

Na Eun is funded by an industrial CASE award with BT and is developing new Bayesian methodology to tackle predictor selection and model choice challenges for industrially-motivated data analysis problems in the online setting. She is co-supervised by Alex Cox.
Melina Del Angel Martinez (started 2021)

Melina is working on a project co-funded by KiActiv and is developing new health indicators and measures of success of interventions using physical activity profiles. She is supervised jointly by Dylan Thompson from the Department of Health at the University of Bath.
Xinle Tian (started 2021)

Xinle's project is focussed 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 Sandipan Roy.
Ruchen Liu (started 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 Sandipan Roy.
Josh Inoue (started 2020)

Josh is working on developing novel approaches to problems arising in spatio-temporal modelling. Josh is part of the Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa CDT) and is co-supervised by Sandipan Roy.
Gianluca Audone (started 2020)

Gianluca is working on developing time series models and tools for analysis of underwater acoustic data, to quantify effects on marine life and the climate. Gianluca is co-supervised by Chris Budd (Bath) and Philippe Blondel (Physics, Bath). Gianluca's studentship is part-funded by the National Physical Laboratory (NPL).
Jordan Taylor (started 2019)

Jordan is working on developing machine learning and network methods for high dimensional genetic data. Jordan is based within the SAMBa Centre for Doctoral Training. He is co-supervised by Sandipan Roy (Bath) and Lauren Cowley (Biology and Biochemistry, Bath).

I also provide partial supervisory support to another PhD student, Henry Elsom.

Past Research Associates

Emiko Dupont

Emiko worked on the EPSRC-funded New Horizons project Multiscale Machine Learning at the Edge, which aimed to develop more efficient machine learning algorithms for resource-constrained settings. Emiko has now joined the department of Mathematical Sciences at the University of Bath as a Lecturer in Statistics.


Past PhD students

Euan McGonigle (completed 2020)

Euan's project involved developing new methodology for nonstationary time series. He was funded by the Numerical Algorithms Group (NAG) and the Smith Institute, and was co-supervised by Rebecca Killick (Lancaster University). Euan has now joined the department of Mathematical Sciences at the University of Southampton as a Lecturer in Statistics.
Kathryn Turnbull (completed 2020)

Kathryn's thesis investigated developing efficient sequential Monte Carlo methods for latent space network models and hypergraphs. Kathryn was co-supervised by Chris Nemeth, Simon Lunagomez (Lancaster University) and Tyler McCormick (University of Washington).
Aaron Lowther (completed 2019)

Aaron was funded by a CASE award with BT Applied Research. His thesis title was Multivariate response predictor selection methods with applications to telecommunications time series data. He was co-supervised by Paul Fearnhead (Lancaster University) and Kjeld Jensen, BT Applied Research.
Chrissy Wright (completed 2019)

Chrissy's thesis is on time series modelling of traffic delays, Modelling and inference for the travel times in vehicle routing problems. She was co-supervised by colleagues at Lancaster University: Konstantinos Zografos, Nikos Kourentzes, and Jon Tawn.
Rebecca Wilson (completed 2019)

Rebecca completed her PhD entitled Novel methods for distributed acoustic sensing data, co-supervised by Idris Eckley, Lancaster University and Tim Park, Shell. Rebecca was partially supported by Shell.

Mark Bell (completed 2015)

Mark completed his PhD entitled Methods for enhancing system dynamics modelling: state-space models, data-driven structural validation & discrete-event simulation, co-supervised by Peter Neal, Dave Worthington, Lancaster University and Kjeld Jensen, BT Openreach. Early supervision was also given by Dennis Prangle (now University of Bristol). Mark was sponsored by a CASE award with BT Openreach.