Research Interests
My main areas of focus are within microbiology, genetics, immunology, and neuroscience.
Although my research experience is broad, including projects like in vivo neurobiology studies with axolotls or investigations of cytokine function in tissue damage, the list below is dedicated to provide an overview of my current research focus.
Endocrinological Modulation of Oral Microbiota in Cognitive Decline:
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Investigating how hormonal shifts, such as those occurring during menopause, can influence the composition and function of the oral microbiome. Exploring the potential link between these microbiome changes, the development of inflammation, and the progression of cognitive decline, including Alzheimer's disease.
Genetic Influences on the Gut Microbiome and Neuropsychiatric Traits:
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Exploring how an individual's genetic makeup shapes the development and characteristics of their gut microbiome. Focusing on how these genetically determined microbial profiles contribute to variations in neuropsychiatric traits and susceptibility to related disorders.
Immunological Mechanisms in Optimal Skin Regeneration:
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Identifying the precise roles of various immune cells and their signalling pathways in promoting high-quality, scar-free skin repair following injury. Investigating the dynamic activation of immune cells, their communication networks, and their interactions with skin cells during regenerative versus scarring healing processes.
Early-Life Immune Programming and Neurodevelopment:
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Examining the critical periods of immune system development during prenatal and early postnatal life and how maternal immune status and early microbial exposures shape the developing immune system and long-term brain development.
Genetic and Immunophenotypic Heterogeneity in Common Variable Immunodeficiency Disorders (CVID):
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Characterising the genetic underpinnings and the diverse clinical and immunological presentations observed in individuals with CVID. Aiming to identify new genetic causes of CVID, discover immune markers that can predict specific clinical features of this primary immunodeficiency.