معرفی
Cathrine Bergh is a postdoctoral researcher at the PDC Center for High-Performance Computing, KTH Royal Institute of Technology. Her work focuses on computational biophysics, particularly the simulation and analysis of biomolecular systems like ion channels in the nervous system. She develops physics-based and AI-driven methods to compute free energy landscapes and predict protein behavior under genetic or chemical perturbations.
Education:
- Engineering Physics, KTH Royal Institute of Technology (2018)
- Ph.D., Theoretical Biophysics, KTH Royal Institute of Technology (2023)
Her research integrates molecular dynamics (MD) simulations, elastic network models, and Markov state modeling to study conformational transitions in biological macromolecules. She specializes in high-performance computing to optimize large-scale simulations and contributes to software like GROMACS.
Recent publications highlight her expertise in lipid binding sites, pH-dependent state transitions, and computational methods for protein dynamics. Her work bridges structural biology, computational modeling, and neuroscience.
