معرفی
Dr. Jack Allen serves as a Research Fellow in the Department of Computer Science at University College London, specializing in computational approaches for epilepsy diagnosis and medical imaging. His work directly contributes to UN Sustainable Development Goal 3 (Good Health and Well-Being) through advanced diagnostic methodology development.
Research focuses span critical healthcare technology domains:
- Medical Imaging innovation, particularly MRI-based cardiac and neurological diagnostics
- Machine learning applications for disease detection (myocardial infarction, epilepsy)
- Statistical shape modeling of anatomical structures
- Computational hemodynamics in 3D imaging reconstruction
Publication analysis (2016-2023) reveals consistent advancement in cardiac image analysis, with increasing technical sophistication from shape-based classification (2016) to blood-focused 3D modeling (2023). His work demonstrates strong international collaboration patterns across biomedical engineering and clinical cardiology.
No documented scientific awards are currently associated with his public profile.
Research supervision appears integrated within UCL's Computer Science department, likely involving graduate students in medical AI projects. Active publication output suggests ongoing grant funding, though specific mechanisms aren't publicly detailed. His ORCID presence (0000-0001-7822-343X) indicates commitment to scholarly transparency.
The research group operates within UCL's Department of Computer Science without a named laboratory, focusing on computational medical imaging through close clinical partnerships. Current work emphasizes translating machine learning advances into practical diagnostic tools for cardiac and neurological conditions.
