Libin Rong obtains NSF CAREER award

CBR member Libin Rong, of the Department of Mathematics and Statistics, was recently awarded a CAREER grant from the National Science Foundation. According to the NSF CAREER website,

“The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations.”

Rong came to OU in January 2010, bringing expertise in developing mathematical models of virus infections and immune response. He has studied viruses such as Hepatitis C and HIV. To sample Rong’s research, see his highly cited 2010 paper in the journal Science Translational Medicine (Rong et al. (2010) Rapid Emergence of Protease Inhibitor Resistance in Hepatitis C Virus. Sci. Transl. Med., Volume 2, Article 30ra32).

Rong’s award (1349939) is from NSF’s Division of Mathematical Sciences. It is a 5-year grant for a total of $400,060. The abstract of the award is given below.

The objectives of this project are to develop and analyze mathematical models to quantitatively investigate virus infection and immune responses and to demonstrate their implications for antiviral treatment and vaccination. Mathematical models, validated and informed by experimental data, have made important contributions to the understanding of interactions between virus, cells, and immune responses. However, new data emerge and update our understanding of the biology underlying these processes. Sometimes the analysis of new data generates conflicting results. This project will develop and analyze new models, compare them with experimental data, explain potential discrepancies generated by new data, and address the implications to therapy and vaccine development. The first part of this project develops multi-scale models to study hepatitis C virus (HCV) dynamics in patients treated with new antiviral drugs. These models include both intracellular viral replication and extracellular cell infection. The second part of the project develops comprehensive immune models to elucidate the mechanisms in controlling HIV, a virus that causes AIDS in humans. The modeling predictions will be compared with experimental data to determine the relative roles of target cell availability and specific immune mechanisms in viral control.

This project will generate modeling, computational, and data analysis methods in quantitative studies of virus infection and immune responses. The multi-scale virus models will establish a theoretical framework for studying viral dynamics in patients treated with new drugs and will investigate the emergence of drug resistance. This can help to develop more effective combination therapy and improve cure rates. Such combination strategies have achieved a great success in the management of HIV infection. The comprehensive immune models developed in this project will address fundamental questions in immunology, e.g., how the immune system controls viral load and why some monkeys can live with an HIV-like virus without progressing to AIDS. The results may suggest effective strategies for the development of future virus vaccines and immune-based therapies. This interdisciplinary research will provide extensive training opportunities to students from diverse backgrounds at levels from high school to graduate school. This project includes extensive collaborations with experimentalists which will provide mathematics students with a broad range of training opportunities in the biomedical field. The interdisciplinary collaboration will also help to improve the dissemination of the project's results to a broad scientific audience.