Developing interpretable machine learning models for clinical imaging and single-cell genomics [ 1/1/2021 - 12/31/2025 ]

Research Grant

Brief description Machine learning methods will be vital to make best use of the deluge of data generated by high-throughput technologies in biomedical science. To get the most out of these models, however, we need to be able to unpack the 'black box'. I will use curated clinical and public research data to benchmark and develop interpretable deep learning models and software tools. These models will be used for breast cancer screening programs and for analysis of complex, large-scale single-cell genomics data.

Funding Amount $1,312,250

Funding Scheme Investigator Grants

Chief Investigator Dr Davis McCarthy

Notes Emerging Leadership 2