Evidence synthesis; uncertainty-aware modeling; empirical decision support; reproducible research workflows.

Methodologically oriented researcher with 11+ years of experience applying quantitative and empirical approaches across domains, including health sciences, data science, and animal behavior. I focus on evaluating evidence critically, identifying key uncertainties, and translating research into practical decisions. My approach prioritizes clarity, skepticism of unsupported conclusions, and continual refinement of mental models as new evidence emerges.

• Developed reproducible research pipelines to support transparent, reliable empirical analysis and facilitate evidence-based decision-making across interdisciplinary projects.
• Collaborated on health science research studies integrating quantitative analysis into applied research (forthcoming publications).

University of Arizona

Tucson, AZ

• Evaluate empirical evidence and methodological approaches to guide research design and decision-oriented data science initiatives.
• Designed and oversaw projects integrating quantitative analysis with real-world problem framing, emphasizing reproducibility, methodological rigor, and transparent reasoning.
• Collaborated across health science and interdisciplinary teams on empirical studies, contributing quantitative expertise and research design guidance.
• Mentored students and collaborators in evaluating evidence quality, communicating uncertainty, and translating analysis into actionable insights.

University of Arizona

Tucson, AZ

• Guided researchers in applying evidence-driven analytical methods to improve research quality and reproducibility across active projects.
• Mentored 100+ researchers on analytical workflows, emphasizing robust methodology, reproducibility, and interpretation of statistical results.
• Developed workshops focused on exploratory analysis and quantitative reasoning to improve research rigor across disciplines.
• Led ResBaz AZ 2023, coordinating interdisciplinary collaboration among 185 attendees across three universities.

University of Arizona

Tucson, AZ

• Designed and executed interdisciplinary research aimed at generating robust, decision-relevant evidence across domains.
• Developed and implemented reproducible research pipelines (including containerized workflows) to ensure methodological transparency and reliable results.
• Synthesized quantitative findings across domains and communicated conclusions to diverse academic and professional audiences.
• Translated complex findings into clear, decision-relevant insights for interdisciplinary stakeholders.

UC Santa Barbara

Santa Barbara, CA

• Applied empirically driven data collection methods to support humanitarian decision-making within a Red Cross–facing project in Central America.
• Co-authored scientific publications through rigorous data collection, analysis, and interpretation.
• Collaborated with interdisciplinary teams to translate evidence into practical recommendations for external stakeholders.

University of Arizona

Tucson, AZ

Methods
Statistical analysis; empirical research design; evidence synthesis; data interpretation under uncertainty; reproducible research workflows; experimental and observational data analysis.

Tools
R (tidyverse); Python (pandas, scikit-learn); SQL; Git/GitHub; Docker; Quarto/RMarkdown; Jupyter; Unix shell.