Research Group Assistant (part-time)

We are looking to recruit an enthusiastic and committed Personal Assistant to provide complex diary management, international travel arrangements and administrative support, sometimes of a highly confidential nature, to Professor Terry Lyons and the DataSıg project (including academics, research staff and students); the post is fixed term, on a part-time basis (0.5FTE).

Volunteers required – Supporting local migrant and refugee children

Jacari is a charity that supports local migrant and refugee children aged 6-16 who speak English as an Additional Language. They are partnered with 12 local primary and secondary schools who refer pupils most in need of language learning support and building confidence in and outside of the classroom. Volunteers are matched 1:1 with a pupil, and provide informal and fun tutorials (1hr per week) at the pupil's home or at the pupil's school.

Deep xVA solver -- a neural network based counterparty credit risk management framework
 Gnoatto, A Picarelli, A Reisinger, C SIAM Journal on Financial Mathematics volume 14 issue 1 314-352 (30 Mar 2023)
Tue, 29 Nov 2022

12:30 - 13:00
C3

Spatial analysis to investigate the emergent dynamics of a cellular automaton model of tumour-immune interactions.

Roisin Stephens
Abstract

Baseline T cell infiltration and the spatial distribution of T cells within a tumour has been found to be a significant indicator of patient outcomes. This observation, coupled with the increasing availability of spatially-resolved imaging data of individual cells within the tumour tissue, motivates the development of mathematical models which capture the spatial dynamics of T cells. Agent-based models allow the simulation of complex biological systems with detailed spatial resolution, and generate rich spatio-temporal datasets. In order to fully leverage the information contained within these simulated datasets, spatial statistics provide methods of analysis and insight into the biological system modelled, by quantifying inherent spatial heterogeneity within the system. We present a cellular automaton model of interactions between tumour cells and cytotoxic T cells, and an analysis of the model dynamics, considering both the temporal and spatial evolution of the system. We use the model to investigate some of the standard assumptions made in these models, to assess the suitability of the models to accurately describe tumour-immune dynamics.

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