Christina M. Ramirez, PhD research interests generally relate to uncovering the mechanisms behind HIV and viral pathogenesis. To this end, Christina works closely with investigators in the clinical and basic sciences. Christina is particularly interested in drug resistance mutation/recombination, viral fitness and HIV co-receptor utilization. Christina works to develop methods to understand the evolutionary dynamics of gene regions under the selective pressure of the host immune system and antiretroviral. Christina also is interested in complex, high-dimensional data analysis where we have large p and small n.  This has led to the development of machine learning methods for complex data with correlation.

FEATURED PUBLICATIONS:

1. Shao, S., Henrique Ribeiro, P., Ramirez, C. M., & Moore, J. H. (2024). A review of feature selection strategies utilizing graph data structures and Knowledge Graphs. Briefings in bioinformatics, 25(6), bbae521.

2. Zhang, J., Sehl, M. E., Shih, R., Breen, E. C., Li, F., Lu, A. T., Bream, J. H., Duggal, P., Martinson, J., Wolinsky, S. M., Martinez-Maza, O., Ramirez, C. M., Horvath, S., & Jamieson, B. D. (2024). Effects of highly active antiretroviral therapy initiation on epigenomic DNA methylation in persons living with HIV. Frontiers in bioinformatics, 4, 1357889.

3. Sehl, M. E., Breen, E. C., Shih, R., Li, F., Zhang, J., Langfelder, P., Horvath, S., Bream, J. H., Duggal, P., Martinson, J., Wolinsky, S. M., Martinez-Maza, O., Ramirez, C. M., & Jamieson, B. D. (2024). Decreased but persistent epigenetic age acceleration is associated with changes in T-cell subsets after initiation of highly active antiretroviral therapy in persons living with HIV. Frontiers in bioinformatics, 4, 1356509.

Last updated: 1/16/2025