I currently work in the Cell matrix biology and regenerative medicine division at the University of Manchester. My work involves using biology and engineering to understand how and why stem cells sense and response mechanical and chemical cues with aging and muscoluskeletal diseases.

My research focuses on the integration of multi-omics data, image-based profiling, and computational modelling to investigate how cells sense and adapt to their microenvironment. During my PhD, I was particularly interested in mechanobiology and chromatin regulation, where mechanical and biochemical cues converge to shape gene expression and cell fate. I developed computational pipelines to integrate proteomics, phosphoproteomics, and metabolomics data under mechanical and chemical stress, uncovering regulatory networks involved in cellular adaptation. I have combined machine learning with experimental validation (WB, IF, qRT-PCR, colorimetric measuring) to model pathway activity, identify phenotypic drivers, and predict molecular responses. My work also includes advanced image analysis pipelines for quantifying protein localisation and chromatin organization. My broader vision is to develop integrative AI frameworks that fuse multi-omics and molecular biology-based applications in stem cell biology and cancer.