See more about the demo and talk here, where I discuss interpretability methods to applied to neural networks and why it is important for clinical neuroscience researchers like me who wish to understand how ML models land on predictions that we use in downstream analyses to study clinical relationships in psychiatric disorders.
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As part of the Turing-Roche Partnership Community Scholar Scheme, the Translational Science Methods Club (T-SciM Club) aims to bring together members of Turing and Roche as well as the wider academic and clinical community to discuss different methods that help us translate from data to science to clinic. The Turing-Roche partnership is a longstanding collaboration between the Alan Turing Institute in the UK and Roche, with the goal of developing new data science methods to investigate large, complex, clinical and healthcare datasets to better understand how and why patients respond differently to treatment, and how treatment can be improved. As of 2025, their current projects focus on: Structured missingness in heterogeneous data, Predictive modelling, and Multimodal analysis.