University of Puerto Rico, Rio Piedras Campus - San Juan, PR

• Developed interactive data visualization dashboards using Python and Plotly to analyze and binarize gene expression data for computational biology research.
• Enabled visualization of Boolean gene networks to improve accessibility of biological data analysis.
• Supported undergraduate CS courses by grading assignments and providing detailed technical feedback.
• Reinforced student understanding of programming, data structures, and core computer science concepts.

New York University, School of Global Public Health - NYC, NY

Pathways into Quantitative Aging Research Summer Program

• Conducted biostatistical research on birth outcomes in sub-Saharan Africa using R and RStudio.
• Applied statistical methods including optimal matching and randomization inference for causal analysis.
• Analyzed large-scale epidemiological datasets as part of NIH-funded public health research.
• Contributed to insights on maternal health risks and population-level birth outcomes.
• Collaborated with researchers in quantitative aging and global health studies.

University of Puerto Rico, Rio Piedras Campus - San Juan, PR

• Spearheaded development of a full-stack web and mobile application for the non-profit organization El Puente to support climate law violation reporting in Puerto Rico.
• Built and integrated frontend and backend systems using HTML, CSS, JavaScript, Flask, and React Native.
• Developed user-friendly interfaces to enable community-driven environmental reporting and data submission.
• Collaborated on designing scalable application architecture for cross-platform functionality (web and mobile).

Harvard T.H. Chan School of Public Health - Boston, MA

Summer Program in Biostatistics and Computational Biology

• Conducted research on the use of antigen home tests for population-level COVID-19 surveillance using R and statistical analysis techniques.
• Analyzed large public health datasets to evaluate screening effectiveness and support data-driven epidemiological insights.
• Completed advanced coursework in Biostatistics, Machine Learning, and Computational Biology.
• Strengthened quantitative research and data analysis skills through collaborative public health research projects.

University of Puerto Rico, Rio Piedras Campus

Master Project: An Integrated Tool for Visualization and Analysis of Boolean Networks Representations of Gene Regulatory Networks

Graduated (GPA: 4.0)

University of Puerto Rico, Rio Piedras Campus

Graduated (GPA: 3.67)

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