Henry musto
I am a postdoctoral researcher and AI research scientist working at the intersection of machine learning and clinical neuroscience. My research focuses on survival-based and longitudinal AI methods for predicting disease progression and clinical outcomes in dementia and related neurological conditions. I am particularly interested in developing models that are not only accurate, but also transparent, interpretable, and equitable in real-world healthcare settings.
My work combines statistical and deep learning approaches, including survival analysis, time-to-event modelling, and multimodal machine learning, applied to neuroimaging, cognitive, demographic, and biomarker data. Current projects in the Rittman Lab focus on translational AI for dementia prediction, with an emphasis on clinically meaningful forecasting of progression, patient stratification, and outcome prediction using longitudinal clinical datasets.