In the Infection Analytics Program, we use mathematical and computational approaches to better understand immunity to major infectious disease threats such as HIV and malaria. Our team is made up of mainly mathematicians and physicists who all have a keen interest in understanding how we control infections within the body.
We apply analytical skills to existing experimental and clinical data, in order to extract a more quantitative and predictive understanding of how immunity controls infection. We work closely with a wide variety of experimental and clinical collaborators to design novel experimental protocols that provide unique data needed to answer questions that cannot be addressed with conventional analysis. We take an interdisciplinary approach which involves collaborations with over 30 groups worldwide to develop a new quantitative framework to better understand immune control of infection.