معرفی
Ali Gooya is a Senior Lecturer (Associate Professor) in Machine Learning at the School of Computing Science, University of Glasgow, UK. His research focuses on probabilistic deep learning applied to medical imaging, particularly in cardiology and oncology, emphasizing semi/unsupervised methods due to sparse expert annotations. He holds a PhD in medical image analysis from the University of Tokyo (2007) and has held academic positions at the University of Leeds and Sheffield before joining Glasgow in 2022.
Affiliations:
- Senior Lecturer in Machine Learning, University of Glasgow (2022–present)
- Lecturer in Computing, University of Leeds (2018–2022)
- Lecturer in Computing, University of Sheffield (2016–2018)
- Postdoctoral Researcher, University of Pennsylvania (2008–2011)
Research Interests: Deep learning for medical imaging, probabilistic modeling, cardiac and cancer imaging, computational anatomy, and marker discovery. Key applications include motion analysis, segmentation, and predictive modeling in healthcare.
Key Achievements:
- Won prestigious fellowships including Allen Touring Institute (2022), JSPS Short-Term (2020), Marie-Curie IIF (2014), and JSPS-PDRA (2008).
- Pioneered Bayesian deep learning frameworks for cardiac motion assessment and generative models in medical imaging.
Grants & Supervision:
- EPSRC Impact Acceleration Award (PI)
- EPSRC New Investigator Grant (EP/S012796/1)
- Actively supervising PhD students in areas like Bayesian deep atlases for cardiac motion analysis.
Labs & Teams: Leads research in medical AI within the School of Computing Science, collaborating on projects integrating imaging and patient metadata for clinical decision support.
