Jessica M. Conway

This study compares acute infection and viral rebound dynamics in ART-treated infant rhesus macaques using a mathematical model to identify increased infected cell death during rebound.

The paper extends the TEIV model to account for non-instantaneous viral budding, showing improved fit to SARS-CoV-2 viral load data using linear ramp-up dynamics.

This paper uses mathematical models to determine optimal antibiotic dosing strategies based on the shape of the dose-response curve and bacterial pharmacodynamics.

This study uses machine learning to identify immunogenic signatures of Th1 imprinting in HIV-positive individuals on ART after repeated SARS-CoV-2 vaccination, highlighting saliva-based antibody screening as a potential diagnostic feature.

This paper introduces a mechanistic model to optimize antibiotic combinations by incorporating drug mechanisms and testing synergy in Escherichia coli.

The paper uses dynamic models to analyze viral rebound after HIV-1 treatment interruption, showing effector cell expansion rate distinguishes post-treatment controllers from non-controllers.

This study examines how early ART initiation in HIV-infected infants affects antibody development and latent reservoir dynamics, showing their opposing impacts on post-treatment viral rebound.

This study investigates how the timing of ART initiation affects viral rebound in infant SHIV-infected Rhesus macaques, finding that latent reservoir size and high-potency neutralizing antibodies influence rebound time.