معرفی
Jacob Kæstel-Hansen is a Postdoc at the Department of Computer Science, University of Copenhagen, affiliated with the Machine Learning section under the Faculty of Science. His work bridges machine learning with computational biology, focusing on single-particle tracking and biological data analysis.
Research Interests:
- Machine learning applications in biophysics
- Single-particle tracking and diffusion analysis
- Protein aggregation and intracellular dynamics
- Super-resolution microscopy
- Automated correlation between biological motion and function
Publications: His recent contributions (2024-2025) include advanced machine learning techniques for single-particle dynamics, insulin analog trafficking, and defect-engineered nanocarriers for drug delivery. He collaborates extensively with researchers in biophysics and computational biology.
Collaborations: Jacob works with institutions like the SCIENCE AI Centre and researchers in biophysics, chemistry, and computational biology, focusing on sustainability and medical data applications.
