Developing probabilistic models to improve drug development, in particular, latent variable models trained with Bayesian inference for drug repositioning, drug combinations, and drug sensitivity analysis.
The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science.
Supports and connects the growing data science research community
Builds research capacity in data science to tackle complex issues
Drives new research challenges through collaborative research projects
Promotes and provides opportunities for knowledge transfer
Identifies and provides training courses for students, academics, industry and the third sector