Biography
I am a PhD student at the University of Cambridge in the Martins Lab. I am co-supervised by Miguel Martins (University of Cambridge) and Manolis Kellis (MIT-CSAIL). I previously worked as a computational biologist at the MIT with Prof. Kellis. I also conducted research under Nick Goldman at EMBL-EBI and with Ruben Van Boxtel at the Prinses Máxima Centrum voor Knderoncologie. My academic background includes molecular biotechnology and bioinformatics at the Università degli Studi di Milano, genomics at the Università di Bologna, and an exchange studentship in machine learning - artificial intelligence at Utrecht University, focusing on computational methods in biological sciences.
Research Interests
My research is focused on the use of statistical and probabilistic machine learning to interpret biological data, specifically targeting Alzheimer's disease. I have a strong interest in the heterogeneity of data, including demographic variations, and am fascinated by multi-modalities and multi-omics data. This approach is integral to my work with the University of Cambridge, MIT-CSAIL, and the Sanger Institute, contributing to the broader understanding of neurodegenerative diseases through comprehensive and diverse data analysis.
