- Research Group Home Page:
As a last year PhD student in computational biology, I have developed expertise in image analysis and biomedical data science - including graph learning and genomics analysis . I have a strong foundation in technical subjects, and I am able to use this knowledge to tackle complex problems in healthcare.
Throughout my doctoral studies, I have worked on a variety of projects involving the analysis of biological images - radiology and pathology - and the development of algorithms to extract valuable information from these images. I have also conducted research on machine learning algorithms and their applications in genomics, including the analysis of non-coding regions of the genome and the use of functional assays.
In addition to my technical skills, I am a curious and creative problem solver who is passionate about using data science to advance our understanding of biology and improve patient care.
- Work address:
- Cancer Research UK Cambridge Institute University of Cambridge Li Ka Shing Centre Robinson Way Cambridge CB2 0RE
Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancer.E-pub date: 17 Aug 2020Journal name: Insights Imaging
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.E-pub date: 1 May 2020Journal name: Comput Biol Med
SOD3 improves the tumor response to chemotherapy by stabilizing endothelial HIF-2α.E-pub date: 8 Feb 2018Journal name: Nat Commun