Joshua Sammet
BSc, MSc
DPhil Student
Interpretability in deep neural networks for gene transcription prediction in Alzheimer's disease
I am a member of the AI team in the Computational & Molecular Neuroscience laboratory. My main interest is using interpretability methods for AI to better understand the neurobiology and genetics of psychiatric diseases.
In my DPhil project, I am investigating how we can use interpretability methods for deep neural networks (DNN) to gain insight in cellular responses to Alzheimer's disease.
For this, I am applying different methods to both genomic and imaging data, aiming to contribute to the mechanistic understanding of disease pathways that deep learning models are picking up from the complex datasets.