About
Iโm a third year PhD student at the Digital Environment Research Institute (DERI) of Queen Mary University of London. I work at the intersection of AI, medicine and biology! My PhD supervisors are Professors Michael Barnes, Myles Lewis and Greg Slabaugh
Research Interests
My research interest lays in developing deep learning strategies for multi-stain histopathology data and paired transcriptomics. I focus on Graph Neural Network approaches, seeking to leverage their flexibility and abilitity to integrate diverse, high dimensional data. I concentrate on immune mediated inflammatory diseases (IMIDs), such as rheumatoid arthritis and Sjรถgrenโs syndrome.
News
๐ข Our work Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? was accepted for presentation at the NeurIPS 2024 workshop on Advancements In Medical Foundation Models! Check out the :newspaper: paper and :star: code
๐ข Come join us on 21st March at our workshop on Responsible AI! We have an amazing line-up of speakers and panelists ๐
Check out this featured article on our MUSTANG pipeline ๐
Delighted to have receive Best poster award at the 2024 WHRI PhD symposium. Thanks to all the organisers :heart:
Iโll be at BMVC23 in Aberdeen presenting our work on MUSTANG ๐๐
Iโll be at MIUA23 presenting our work on segmentation of Rheumatoid Arthritis synovial tissue ๐
Funding
- Wellcome Trust fully funded PhD Studentships in Science
- Wellcome Trust fully funded MRes