Quantitative Science
Quantitative Science brings together a variety of disciplines that seek to unravel the complexities of cancer through the application of mathematical modeling, biostatistics, bioinformatics, and data science approaches.
Biostatistics and Bioinformatics
The Biostatistics and Bioinformatics Department conducts methodological and collaborative research in the areas of biostatistics, computational research in bioinformatics and biomedical data management and integration.
Integrated Mathematical Oncology
Cancer is a dynamic complex multiscale system that can only truly be understood via the integration of theory and experiments. The goal of the IMO is to use such an integrated approach to better understand, predict and treat cancer.
Machine Learning
The department focuses on machine/deep learning (ML/DL) application in information retrieval and annotation with natural language processing (NLP), outcomes and decision-making research, ML-aided digital pathology, ML-guided translational oncology (drug discovery and repurposing), among other areas.
Quantitative Science