Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]

The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]

This novel computational framework for the analysis of single-cell gene expression data from human tumor samples enables the identification of molecular activity associat [...]

The significant inter- and intra-tumor heterogeneity observed in breast cancer patients presents an ongoing challenge that impedes accurate disease characterization and c [...]

The gut microbiome is involved in promoting or inhibiting (protecting against or contributing to the development of) many diseases, such as diabetes, inflammatory bowel d [...]

Genome-wide polygenic risk scores (PRS) can now predict complex genetic disease risk with nearly the same ability as tests for monogenic diseases. Despite this, there is [...]

Head and neck squamous cell carcinoma (HNSCC) is known to have a high progression rate in certain subpopulations, despite existing treatment methods. Due to the lack of s [...]

Leukemias comprise a family of hematologic malignancies characterized by the over-proliferation of myeloid precursor cells. Leukemia development depends on multiple facto [...]

Influenza is a disease that is estimated by the World Health Organization (WHO) to affect 5-10% of adults and 20-30% of children each year. Using this collaborative cross [...]

Success as a biomedical scientist depends on publishing relevant findings to answer a biological question. A scientist needs to publish as frequently as possible in as ma [...]