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Lunchtime Seminars

The goal of the informal lunchtime seminars is to bring all academic staff in the department together, in order to give give opportunities for discussion and interaction. The seminar will alternate between teaching and research focused topics.

Unless otherwise specified, the lunchtime seminar takes place on Mondays from 12:15 - 12:45pm in the Statistics common room. Lunch will be provided. All are welcome.

Term 1  
16.10.2023 Anastasia Papavasileiou

A rough path to impact – from constructing integrals to detecting RNA modifications

In the first part of the talk, I will briefly describe on an intuitive level the main concepts of rough path theory, from Young integrals, rough paths and the continuity of the Ito-Lyons map to rough path signatures and their ability to efficiently capture information about paths (also known as trajectories, time series, ordered data, data streams etc, depending on the context). In the second part, I will talk about the importance and role of modifications in RNA molecules and the challenges around detecting them (at a rather amateur level).

Finally, I will present some current work (joint with DKFZ, DataSig and Julia Brettschneider) on using rough path signatures in the framework of anomaly detection to detect RNA modifications and some interesting statistical problems around that.

30.10.2023 Horatio Boedihardjo

Undergraduate admissions

We will discuss the general profile of the students we have accepted and the admission decision-making process. We will then open the floor to hear colleagues' views about undergraduate admissions in general.


12:15 - 13:45

Gavin Schwartz-Leeper (Faculty Senior Tutor)


How to be a good personal tutor?

This periodic training is designed to be a basic introduction to personal training for new personal tutors and to act as a refresher/update opportunity for experienced ones. The session will have opportunities to reflect on and discuss concerns, successes, and emergent needs in the department.

27.11.2023 Emma Horton
An SDE model for proton transport
Proton beam therapy is a type of radiotherapy that uses protons, instead of photons, to treat certain types of cancer. The advantage of using protons is that a beam of protons deposits most of its energy at a specific range (unlike photons), characterised by the so-called Bragg peak. This enables clinicians to precisely target a tumour and therefore reduce damage to surrounding healthy tissues. In this talk, I will explain how to build an SDE model for proton transport and reconstruct the characteristic Bragg peak via Monte Carlo simulations.

If you have any questions or comments, please contact the seminar organiser Martin HerdegenLink opens in a new window.