While there is a plethora of evidence documenting a higher prevalence of infectious diseases among low-income and minority racial and ethnic groups, particularly in environmentally mediated infections, there remains a substantial knowledge gap regarding the role of systemic oppression and structural drivers in infectious disease systems. My current projects examine the ways systemic oppression drive exposure, infection, and severe outcomes in invasive fungal diseases at the interface between social and natural ecological systems.

Electronic health records are now the standard in medical practice and an increasingly important source of health data. However, conducting meaningful research leveraging this complex data source that influences population health is challenging due to issues related to data quality, interoperability, and several unique biases. My work focuses on developing and employing mathematical models, quantitative epidemiological and causal inference approaches, and other statistical methods to identify health and disease trends, understand disease dynamics, and evaluate or inform public health interventions using EHR data linked with publicly available and administrative data.

Human health is fundamentally shaped by complex relationships between human, animal, and environmental health. My research focuses on leveraging Planetary Health and One Health approaches to study the determinants of disease in humans. By integrating data from diverse sources, including environmental monitoring and agricultural practices, my work aims to uncover the multifaceted factors that drive disease emergence and exposure. I have a budding interest and focus on using systems-science perspectives to evaluate health outcomes & determinants considering the complex and dynamic interactions between human, animal, and environmental sectors.