• Examine the impact of “Big Events” (e.g., the COVID-19 pandemic), as well as the enactment of social and economic policies in response to such Big Events, on overdose risk.• Compile, integrate, maintain, and analyze comprehensive databases of social, health, and economic policies.

• Led and managed end-to-end research solutions, using quantitative analysis of large, complex datasets to measure and improve mental/neural health.• Used data-driven insights to inform strategic decision-making in cross-functional teams comprising researchers, data scientists, engineers, and senior leadership.• Collaborated with relevant stakeholders to understand business needs, generate comprehensive research protocols, and develop new user surveys.• Managed multiple concurrent tasks as a project leader, encompassing experimental design, data collection and analysis, and dissemination of research-driven narratives and insights.• Developed and deployed high-quality code in R, MATLAB, and Python to extract and clean data, conduct quantitative analyses, and create data visualizations that support research objectives.• Employed advanced statistical analysis techniques (e.g., multiple regression, clustering, factor analysis) to uncover and interpret quantitative trends in user behavior and survey data.KEY ACCOMPLISHMENTS• Developed data management/curation system and disseminated primary datasets for reuse and analysis as part of collaborative data sharing initiative.• Led cross-functional team of researchers, clinicians, and technicians to schedule, staff, and complete 10+ weekly clinical imaging scans.• Successfully authored/submitted two primary-author manuscripts for peer-reviewed publication, contributing original research findings to the neuroscience field.• Trained and mentored four junior researchers in data management and analytics.

• Led and managed end-to-end research projects to examine the effects of learning disabilities on cognition, behavior, and brain development.• Conducted and prepared research design, performed literature reviews, and collected behavioral and neuroimaging data.• Employed R and MATLAB to extract and clean data, perform quality assurance, conduct quantitative analyses, and visualize analytical insights.• Leveraged advanced statistical analysis (e.g., multiple regression, propensity score matching, Bayesian modeling) to derive meaningful insights from user survey data.KEY ACCOMPLISHMENTS• Authored grant funding proposals leading to the successful acquisition of federal/institutional funding and managed budgets to complete research projects.• Delivered 20+ formal oral presentations to diverse groups of stakeholders on research topics, ongoing projects, and analytical pipeline development.• Successfully authored/submitted three manuscripts for peer-reviewed publication, contributing original research findings to the developmental neuroscience field.• Trained and mentored 10 junior researchers in data management and analytics.

• Designed experiments, collected and analyzed data, and created reports for research projects examining the effects of visual and motor distraction on behavior and brain activity.• Utilized R and MATLAB to perform quality assurance, conduct quantitative analyses, and visualize analytical insights.KEY ACCOMPLISHMENTS• Installed, maintained, and upgraded electroencephalography (EEG) hardware.• Successfully authored/published two peer-reviewed manuscripts in a top neuroscience journal.• Trained team of four researchers in data collection and EEG setup.