Scholar
Arinbjörn Kolbeinsson
Google Scholar ID: MiI7lj0AAAAJ
University of Virginia
Citations & Impact
Citations
549
H-index
9
i10-index
8
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published research on 3D-ResNet architectures for brain MRI analysis, achieving state-of-the-art accuracy in brain age prediction. Developed Tensor Dropout, a novel stochastic regularization technique that improves model robustness without requiring adversarial training.
Research Experience
- Specialized in machine learning for health time series data at Evidation Health, contributing to projects like FluSmart and Homekit2020, which involve wearable sensor data and large-scale public benchmarks for health data classification.
Education
- PhD from Imperial College London, focusing on developing novel deep learning approaches for biomarker discovery from medical imaging and genomic data. Conducted research at the University of Virginia on composable interventions for language models.
Background
- I advance machine learning research and transform deep technical innovations into practical solutions. My work spans developing efficient foundation models, applying deep learning to healthcare challenges and advancing AI applications in legal systems.
Miscellany
- No personal interests or hobbies information provided.
