Data Science and Computational Biology
Huge streams of data are constantly being collected, but how can we make sense of this data and use it to our advantage? Medical Biophysics researchers combine methods from mathematics, statistics, computer science and machine learning to analyze and understand these large datasets, which include data from genomics, epigenomics, transcriptomics, single cell sequencing, proteomics, digital pathology and medical imaging. A large portion of current MBP research is looking at how we can use large-scale data to develop algorithms or models to understand biological systems and relationships, specifically targeted at the diagnosis and treatment of disease.
Examples of specific research topics include:
- Artificial Intelligence
- Computer-Aided Diagnosis
- Precision medicine
- Mathematical Modeling