BIO
I am a PhD student in Technology for Health with a background in mathematics applied to biomedical sciences. I hold a Master’s degree in Mathematics and Statistics for Life and Social Sciences from the University of Trento and completed a research traineeship at University College London. My academic path has focused on applying quantitative methods to medical research. During my studies, I worked on mathematical modelling in cardiovascular physiology, fractal analysis in medical imaging, and computational models of biological systems. I later worked as a Research Assistant at the University of Brescia, where I contributed to projects in clinical neuroscience and neurodegenerative diseases.
RESEARCH FIELD
My PhD project focuses on the multimodal study of neurodegenerative diseases through the integration of different sources of clinical and biological data. In particular, the project combines: Plasma and cerebrospinal fluid (CSF) biomarkers, including synaptic, inflammatory, amyloid, and neurodegeneration markers; Digital biomarkers, such as gait and motion parameters derived from wearable sensors and digital assessments; Neuroimaging data, including structural and quantitative brain measures; Clinical and cognitive assessments. The aim is to develop integrative analytical models that capture the complexity of disease mechanisms by jointly analyzing molecular, physiological, digital, and imaging data. Through statistical modelling and data-driven approaches, the project seeks to improve early detection, risk stratification, and monitoring of disease progression. By bringing together biological biomarkers, digital health technologies, and neuroimaging, the research aims to contribute to more precise and personalized approaches in the study of Alzheimer’s and Parkinson’s disease.
Tutor: Prof. Andrea Pilotto
Email: chiara.trasciatti@unibs.it