Associate Professor

The petitioner proposes to integrate advanced statistical modeling and machine learning with large-scale clinical datasets to uncover genetic, environmental, and epigenetic risk factors associated with suicide. Her work focuses on developing predictive models to identify high-risk populations and inform targeted mental health interventions. This research aims to improve early detection and prevention strategies to reduce suicide rates and strengthen public health systems.

The petitioner proposes to develop evidence-based frameworks, strategies, and policies to address mental health challenges more effectively. Her work focuses on improving patient outcomes in marginalized and at-risk communities, specifically targeting individuals with substance use disorders and migrant populations.

The petitioner proposes to design interventions and programs that leverage health communication strategies to promote mental health resilience among youth in the United States. The work focuses on reducing health stigma among marginalized populations and enhancing mental well-being and inclusivity through communication-driven prevention resources.

The petitioner proposes to develop and validate accurate psychological tools to diagnose and treat psychiatric conditions arising during major epidemics, focusing on cognitive factors influencing disease transmission and creating screening instruments for clinicians.