Research Interest: Bacteriology
Name | PhD Program | Research Interest | Publications |
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Liu, Qingyun PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Traditionally, basic science has sought to enter the translational pipeline through what can be referred to as “Bottom-Up” science, that is, studies that start with a hypothesis in the lab and aim to develop clinical relevance of the findings. In some cases, notably in conventional antibiotic development, this has worked well – but it assumes one-size fits all solutions that are only as good as our assumptions about the biology of many infectious diseases such as tuberculosis. By contrast, my research focuses on a “Top-Down” approach, leveraging the power of bacterial population genomics to identify bacterial processes important for Mtb success in people and to then employ cutting-edge experimental techniques to mechanistically dissect these processes with the goal of leveraging them using new translational tools. In my work to date, I have applied this “Top-Down” strategy to define bacterial determinants of treatment outcomes and transmission success, as evident in first-author/corresponding author publications in prestigious journals such as Science, Nature Ecology Evolution, Cell Host Microbe, Science Advances, Genome Biology, PNAS, etc. My work combines expertise in evolutionary biology and bacterial genomics, cutting-edge bacterial genetics and high-throughput experimental phenotyping. In my own lab, I will use these tools to (1) define the biological mechanisms that enable Mtb to survive antibiotic treatment; (2) identify bacterial determinants of TB transmission success; and (3) elucidate the evolutionary mechanisms underlying the emergence of new bacterial pathogens. |
van Duin, David WEBSITE |
PHD PROGRAM RESEARCH INTEREST |
I am a clinical/translational researcher in Infectious Diseases. I am the Director of the Immunocompromised Host Program – which provides ID care to patients with transplants, malignancies, and burns. My primary research interests are antibacterial resistance in gram-negative bacilli, and infections in vulnerable patients. I am the PI for the Carbapenem Resistance Consortium for Klebsiella and other Enterobacteriaceae (CRACKLE) and PI for the Multi-Drug Resistant Organism (MDRO) Network. I am also supported by NIAID to evaluate community origins of carbapenem-resistant Enterobacterales. |
Bhatt, Urja |
PHD PROGRAM RESEARCH INTEREST |
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Hand, Emily |
PHD PROGRAM RESEARCH INTEREST |
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Ogrodniczuk, Marcin |
PHD PROGRAM RESEARCH INTEREST |
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DiMaulo-Milk, Emily |
PHD PROGRAM RESEARCH INTEREST |
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Rueppell, Anika |
PHD PROGRAM RESEARCH INTEREST |
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Bartelt, Luther WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Our lab performs translational investigations of nutritional and microbiota determinants of host-pathogen interactions. We use gnotobiotic techniques (eg. germ free) mice to investigate complex microbe-microbe interactions in the context of host malnutrition, a common but poorly understood global health problem. Specific pathogens we model include Giardia (a ubiquitous parasite with unclear mechanisms of pathogenesis) and other intestinal parasites and multi drug resistant Enterobacterales (eg. Klebsiella). We work with several collaborators to translate findings in experimental models to outcomes in human cohorts. Emerging projects include determinants of host immune responses to mucosal viral infections and vaccines (eg. Polio and SARS-CoV-2). |
Rowe-Conlon, Sarah WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
My lab studies recalcitrant bacterial infections and antibiotic treatment failure. Focusing on bacteremia and wound infection, we utilize a range of in vitro, tissue culture and mouse models to understand the precise nature of treatment failure and exploit this knowledge to modulate antibiotic activity in the host environment. My long-term goal is to bring improved therapeutic strategies to the bedside. |
Rosenthal, Adam WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Our lab uses a systems biology approach to study phenotypic heterogeneity in bacteria. We develop tools that quantify single cell bacterial transcription. We then compare dynamic measurements during vegetative growth and infection to identify regulators of gene expression and mechanisms that bacteria use to coordinate community organization. With this data we want to understand the role of heterogeneity and noise in infectious disease. |