Infections in the immunocompromised host, especially diagnosis, prevention and treatment of CMV, VZV, BK virus, adenovirus, and respiratory virus infections. Research includes understanding the genetic basis of infeciton complications, genome and gene expression studies.
Determining how changes in microbial communities impact human health; identifying, characterizing, and culturing microbes found in the human genital tract; and associating the reproductive tract microbiome with human disease.
Developing molecular diagnostic tests to detect and identify pathogens in immunocompromised hosts such as cancer patients.
Clinically important persistent and latent viral infections; curative therapies for latent viral infections ;diagnosis of disease caused by herpesviruses, enterovirus, JC and BK viruses, parvovirus B19, and hepatitis viruses
The Kiem Lab is focused on research and clinical trials using stem cell biology and stem cell gene transfer with the goal of developing stem cell-based treatment strategies for patients with genetic or infectious stem cells. We are conducting studies using embryonic stem cells and induced pluripotent stem cells.
Natural Killer Cell Receptor Diversity and CMV in Hematopoietic Cell Transplantation; Viral infections after Hematopoietic Stem Cell Transplantation; Epidemiology of invasive Fungal infections in Cord Blood Transplant Recipients and Clinical trials of the prevention of post-transplant infection
Interest in describing the quantitative and dynamical features of human pathogens and immune responses. Most of work to-date is on the pathogenesis of HSV-2 infection but also interested in applying models to optimize viral eradication startegies, and to use models to capture kinetic features of the human microbiome.
Clinical and translational investigations relating to infections in immunocompromised hosts, with a focus on disease associations, risk stratification, and diagnostic strategies for viral infections in transplant recipients
Mathematical modeling of virus and immune system dynamics. Population/within-host dynamics approach to quantify HIV-1 infection and treatment efficacy (ordinary differential equations, nonlinear mixed effects models).