Emil Alstrup Jensen

Emil Alstrup Jensen is a PhD student at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. His research focuses on integrating Raman spectroscopy, machine learning, and microfluidic platforms for biomedical applications, including blood typing and flow cytometry innovations.

Current projects include Raman spectroscopy and Multi-Modal Machine Learning Models (2024–2027), supervised by L. K. H. Clemmensen, A. Kristensen, and L. E. Pedersen. Collaborations span microfluidics, biomedical engineering, and applied data analysis.

His publications highlight advancements in high-throughput Raman spectroscopy, label-free blood analysis, and viscoelastic fluid-based cytometry, often utilizing optical fiber coupling and particle suspension dynamics to improve diagnostic accuracy and efficiency.

Project details:

• Raman spectroscopy and Multi-Modal Machine Learning Models (Active PhD project, 2024–2027)

Supervisors:

• Lars Kai Hansen (Main Supervisor)
• Anders Kristensen
• Lars Erik Pedersen

Research trends:

• Combining Raman spectroscopy with artificial intelligence for clinical diagnostics
• Designing microfluidic platforms for capillary flow cytometry using viscoelastic fluids
• Optimizing non-transparent solution analysis via flow cell engineering

Contact: ealje@dtu.dk