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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 Ji – statistics@lse.ac.uk
MSc Secretary: Sarah McManus – 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.

Department of Statistics UG Sub-Board Chairs

Professor Wicher Bergsma is the sub-board chair for all UG programmes in the Department of Statistics.

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

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

ST454

Bayesian Data Analysis

Statistics:
Dr Kostas Kalogeropoulos

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

ST461

Mathematics of Market Microstructure

QMRM:
Dr Andreas Sojmark

ST463

Stochastic Simulation, Training and Calibration

QMRM:
Dr Andreas Sojmark

 

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