About
Joe Greener is a Researcher at the University of Cambridge, focusing on improving force fields for biomolecular simulations using differentiable molecular simulation (DMS). His work addresses limitations in traditional molecular dynamics force fields, particularly for disordered proteins and aggregation studies.
Research Interests:
- Developing accurate all-atom and coarse-grained force fields
- Applying DMS for parameter optimization
- Protein dynamics and allostery
- De novo protein structure prediction
- Integration of machine learning with molecular modeling
- Simulation of biologically relevant systems
Recent Publications explore DMS for coarse-grained force fields, deep learning in protein modeling, variational autoencoders for protein folds, and allosteric dynamics prediction. His work bridges computational biology, structural modeling, and machine learning.
Collaborations & Students:
- Alexandre Blanco Gonzalez
- Giuseppe Gambini
0Publications listed
