Research Experience

Applied Extreme Value Theory to quantify seismic hazard in Veracruz State, Mexico, using over a century of earthquake data from the National Seismic Service. The research implemented a dual-modeling framework combining the Generalized Extreme Value Distribution for annual block maxima and the Generalized Pareto Distribution for threshold exceedances. The model revealed that a magnitude 7.0 earthquake has approximately a 12.8% probability of occurring within 50 years.

• Led statistical modeling and diagnostic validation, including threshold selection via mean residual life plots and parameter stability analysis.
• Conducted comprehensive data preprocessing involving declustering of aftershock sequences and standardization of 6,121 seismic events.
• Successfully estimated 10, 50, and 100-year return levels, providing actionable insights for civil engineering design standards and emergency preparedness policy in tectonically active regions.

This study investigates the multifaceted factors influencing the sense of belonging among students within California's Central Valley. By examining demographic, socioeconomic, and institutional variables through mixed-methods research, the study aims to identify key predictors of student retention and academic success in these underserved communities.

• Conducted qualitative interviews and quantitative surveys to capture diverse student experiences.
• Analyzed data using statistical modeling techniques to uncover patterns in campus climate perceptions.
• Findings will inform university policies and interventions designed to improve student engagement and retention rates.