Exam Sub-Board Chairs
For the Department of Statistics
2025-26 Academic Year
Sub-board chairs can authorise deferral requests and extensions to deadlines for summative coursework
Sub-Board Chairs or their nominated deputy can consider extension requests for some types of summative assessment such as for example essays, dissertations, coursework etc.
This page lists the contact details for each Sub-Board of Examiners. Please note, if you want to contact the secretaries, you can find their information below:
UG Secretary: Yanli Li – statistics@lse.ac.uk
MSc Secretary: Josiah Phoenix – stats-msc@lse.ac.uk
You should use the contact details below should you wish to apply for an extension. Alternatively, if you feel you need more time than an extension would allow or the format of assessment does not allow for an extension such as an in person or online exam, you should consider following the deferral procedure which will be considered by the Student Services Centre.
The Department of Statistics UG Sub-Board Chair is Professor Wicher Bergsma for all UG courses.
Department of Statistics MSc Sub-Board Chairs
| Course Code | Course Name | Programme and Chair |
| ST405 | Multivariate Methods | Statistics: Dr Kostas Kalogeropoulos |
| ST409 | Stochastic Processes | QMRM: Dr Andreas Sojmark |
| ST411 | Generalised Linear Modelling and Survival Analysis | Statistics: Dr Kostas Kalogeropoulos |
| ST416 | Multilevel Modelling | Statistics: Dr Kostas Kalogeropoulos |
| ST418 | Advanced Time Series Analysis | Statistics (Fin Stats): Prof Tengyao Wang |
| ST422 | Time Series | Statistics (Fin Stats): Prof Tengyao Wang |
| ST425 | Statistical Inference: Principles, Methods and Computation | Statistics: Dr Kostas Kalogeropoulos |
| ST429 | Statistical Methods for Risk Management | QMRM: Dr Andreas Sojmark |
| ST436 | Financial Statistics | Statistics (Fin Stats): Prof Tengyao Wang |
| ST442 | Longitudinal Data Analysis | Statistics: Dr Kostas Kalogeropoulos |
| ST443 | Machine Learning and Data Mining | Data Science: Prof Zoltan Szabo |
| ST444 | Computational Data Science | Data Science: Prof Zoltan Szabo |
| ST445 | Managing and Visualising Data | Data Science: Prof Zoltan Szabo |
| ST446 | Distributed Computing for Big Data | Data Science: Prof Zoltan Szabo |
| ST447 | Data Analysis and Statistical Methods | Data Science: Prof Zoltan Szabo |
| ST449 | Artificial Intelligence | Data Science: Prof Zoltan Szabo |
| ST451 | Bayesian Machine Learning | Data Science: Prof Zoltan Szabo |
| ST452 | Probability and Mathematical Statistics I | QMRM: Dr Andreas Sojmark |
| ST453 | Probability and Mathematical Statistics II | QMRM: Dr Andreas Sojmark |
| ST455 | Reinforcement Learning | Data Science: Prof Zoltan Szabo |
| ST456 | Deep Learning | Data Science: Prof Zoltan Szabo |
| ST457 | Graph Data Analytics and Representation Learning | Data Science: Prof Zoltan Szabo |
| ST458 | Financial Statistics II | Statistics (Fin Stats): Prof Tengyao Wang |
| ST459 | Quantum Computation and Information | QMRM: Dr Andreas Sojmark |
| ST463 | Stochastic Simulation, Training and Calibration | QMRM: Dr Andreas Sojmark |