The Data Engineers meeting seeks to connect data wranglers and professionals in related data engineering roles across the University. This group aims to provide a platform for individuals to share their expertise and interests, fostering a sense of community and encouraging knowledge exchange across research teams.

While primarily designed for those working at the intersection of data generation and analysis – covering areas such as data collection, wrangling, modeling, visualization, and communication – the group is inclusive and open to all members of the University.

Please join us for the next Data Engineers meeting:

Date – Thursday 9 October 2025
Time: 10:00 – 11:00
Venue: BDI/OxPop Seminar room 0

Agenda:
10:00 – Multimodal Survival Analysis with Locally Deployable Large Language Models by Moritz Gögl, Dphil student, Big Data institute, University of Oxford
10:45 – Discussion (Q&A, feedback)

Followed by refreshments in the atrium

Moritz Gögl: Moritz is based at the Centre for Doctoral Training in Health Data Science at the University of Oxford. His DPhil research, supervised by Chris Yau and Peter Watkinson, spans methodological and foundational machine-learning topics: he has developed causal ML methods for individualized treatment-effect estimation and survival analysis, and investigates foundational questions in representation learning–particularly new perspectives on interpreting concepts in self supervised models. Recently he has also undertaken more applied work that integrates large language models with prediction tasks, specifically survival modelling

To attend, please register – forms.office.com/e/8NsUtYLxLs?origin=lprLink