Ali Amirahmadi

Ali Amirahmadi is a researcher at Halmstad University's School of Information Technology, focusing on deep learning and healthcare informatics. His research involves modeling patient trajectories for early diagnosis and interventions using transformers and representation learning.

Research interests include:

• Deep learning
• Language models
• Transformers
• Healthcare informatics

His recent publications address topics such as:

• Clinical risk prediction with graph neural networks
• Self-supervised learning for temporal healthcare data
• Masked language models in EHR analysis
• Systematic reviews of deep learning in trajectory modeling