The Infection Analytics Program uses mathematical and computational approaches to dissect the mechanisms of pathogenesis and immunity to major infectious disease threats such as HIV and malaria. The Program comprises mainly mathematicians and physicists who all have a keen interest in understanding the fundamental questions in biology.
The Infection Analytics Program applies analytical skills to ‘mining’ existing experimental and clinical data, in order to extract a more quantitative and predictive understanding of how immunity controls infection. In addition, the program works closely with a wide variety of experimental and clinical collaborators to design novel experimental protocols that provide unique data needed for modeling to answer questions that cannot be addressed with conventional analysis. This program takes an interdisciplinary approach which involves collaborations with over 20 groups worldwide to develop a novel quantitative framework to further the understanding of immune control of infection.