Developed standardized guidelines for analyzing open-ended responses, enhancing the quality of over 70 international research projects.
Designed and taught a course on causal inference utilizing Bayesian analysis and R/Stan, equipping students with advanced analytical skills.
Applied hierarchical modeling and profile-based similarity metrics to analyze personality data from over 160,000 participant linked to census-based geographic units, uncovering predictors of fit and health using advanced multilevel and nonlinear modeling techniques.
Designed and led a large-scale, preregistered study examining psychological and contextual predictors of immigrant well-being, integrating survey data, user segmentation, and geospatial analysis to identify person-environment fit patterns across communities.
Collaborated with faculty and researchers to integrate innovative methodologies into the curriculum, fostering a research-oriented learning environment.
Data Scientist
Rapid Assessment of Pandemic Impact (Early Development)
Accomplishments include:
Led real-time analytics for nationally representative longitudinal study tracking 3,300+ families with children under 5 during COVID-19 pandemic.
Designed and implemented weekly data collection pipeline using stratified sampling methods to maintain statistical power and demographic representation across 50+ survey waves.
Developed automated text analytics workflows processing 6,500+ open-ended responses using structural topic modeling and NLP to identify emerging family needs and policy gaps.
Delivered actionable insights to policymakers through bi-weekly policy briefs and data visualizations, informing federal and state-level family support initiatives.
Built predictive models identifying families at highest risk for material hardship, education disruption, and mental health challenges.
Created interactive dashboards enabling real-time monitoring of pandemic impacts across demographic groups.
Collaborated with cross-functional team including non-profit advocates and government stakeholders to translate complex data into policy recommendations
Assistant Professor of Psychology
University of Oregon
Accomplishments include:
Developed and executed comprehensive educational strategies, generating $400,000+ in annual content.
Established guidelines for open-access data usage, benefiting over 250 research projects.
Delivered engaging presentations on psychological concepts, enhancing public understanding of psychological science.
Postdoctoral Fellow
Northwestern University, Feinberg School of Medicine
Accomplishments include:
Led coordinated analysis of 15 longitudinal datasets involving 49,000+ individuals across international research institutions to investigate personality-health connections.
Developed analysis pipelines to process and analyze complex multi-source data.
Created reproducible statistical workflows that increased team output by 400%.
Collaborated with cross-disciplinary teams including psychologists and medical researchers.
Education
PhD Psychology
Washington University in St. Louis
Thesis on Building a theory of adaptive neuroticism. Supervised by Prof Joshua Jackson.