I am a PhD student at the University of Cambridge, co-supervised by Miguel Martins (University of Cambridge) and Manolis Kellis (MIT-CSAIL). I am also affiliated with the Sanger Institute, where I work with Mo Loftollahi. 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 research focuses on the development of innovative statistical and probabilistic machine learning models tailored for single-cell data analysis and data integration. By harnessing the power of these cutting-edge techniques, I aim to shed light on the underlying mechanisms of disease and pave the way for more targeted and effective therapeutic strategies. 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, contributing to the broader understanding of neurodegenerative diseases through comprehensive and diverse data analysis. In collaboration with Vincent, his lab, and other collaborators at the Helmholtz Institute, I am dedicated to developing more robust models for data analysis. We aim to integrate epistemic and aleatoric uncertainty estimates in our models to provide insights on the reliability of the learned representations of single-cell data. Moreover, we delve into the realm of causal representation learning, in order to unravel the intricate connections between biological and environmental factors in the genesis of complex diseases.