Experience

A concise overview of my preparation for public health leadership, faculty-facing roles, research collaboration, and academic program improvement.

Professional Profile

I am a health data and public health professional working across clinical data coordination, surveillance, epidemiology, public health practice, research collaboration, and academic quality. My work emphasizes reliable data, clear documentation, practical analysis, and evidence that teams can use.

My background combines scientific research with current public health training in epidemiology. The MPH-Epidemiology is expected in Fall 2026, and I am intentionally building toward roles that combine leadership, teaching, applied analysis, and public health impact.

Current Appointment

Lead Health Data Coordinator Level II

Department of Internal Medicine, Division of Hematology and Oncology, University of Nebraska Medical Center | 2024-present

  • Coordinate clinical research data and support evidence-ready summaries for outcomes, quality, and research use.
  • Maintain documentation and workflows that improve data consistency, transparency, and continuity across teams.
  • Support data quality practices, cohort tracking, and practical summaries for clinical and research partners.
  • Translate complex data questions into clear summaries, action items, and follow-through processes.
  • Collaborate across clinical, research, and analytic contexts to support reliable evidence generation.

Prior Research Experience

Scientific Research and Data Analysis

Translational research and health data analysis | prior roles

  • Conducted advanced data analysis for collaborative research projects.
  • Built reproducible analysis workflows and contributed to publication-quality figures, reports, and dashboards.
  • Supported research projects linking data, clinical context, and biological interpretation.
  • Worked across data, laboratory, and clinical-facing teams to turn complex findings into usable research outputs.

Academic Preparation

  • PhD: Informatics, Computational, and Experimental Biology
  • MS: Bioinformatics
  • MPH-Epidemiology: in progress, expected Fall 2026

Core Capabilities

Health Data, Surveillance & Reporting

  • Cohort data coordination, data validation, and quality review.
  • Surveillance thinking across infectious disease, chronic disease, cancer, and program-quality contexts.
  • Practical reporting for clinical, research, public health, and program-quality audiences.

Analysis & Evidence Translation

  • Reproducible analysis for research, quality, and public health questions.
  • Survival, cohort, and translational data summaries for research and program use.
  • Dashboard and reporting workflows for decision support.

Academic Quality & Teaching

  • Plain-language standards, rubrics, evidence maps, checklists, and reviewer supports.
  • Needs-based instructional design for public health training.
  • Teaching materials that connect complex concepts to applied public health and clinical contexts.

Coordination & Leadership

  • Cross-functional coordination with clear ownership, timelines, and follow-up.
  • Documentation systems that preserve decisions, assumptions, and rationale.
  • Mentoring and training support for students, research staff, and early-career collaborators.

Applied Skills

  • Data quality and analysis: turning complex health and research data into reliable summaries.
  • Surveillance and clinical data workflows: supporting consistency, validation, and evidence readiness.
  • Visualization and reporting: dashboards, publication-quality figures, analytic summaries, and stakeholder-ready briefs.
  • Teaching and communication: learning materials, job aids, rubrics, and self-study/reporting support.
  • Collaboration: connecting research, clinical, academic, and public health teams around practical decisions.

Leadership & Service

  • Elected Member, College of Public Health Curriculum Committee since October 2025.
  • Contribute learner-centered and evidence-informed perspectives to curriculum review, rubric clarity, and feedback loops.
  • Support quality-oriented processes that are transparent, right-sized, and usable by the people doing the work.
  • Mentor students, research staff, and collaborators in reproducible work habits, applied analysis, and practical communication.

Selected Evidence & Links