Dr. Victoria Keeton

Assistant Professor

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Biography

Victoria F. Keeton is an Assistant Professor at the Betty Irene Moore School of Nursing at UC Davis, bringing expertise in pediatric maternal-child health to research on health inequities and the biopsychosocial impacts of social needs on children and families in minoritized communities. Her research primarily focuses on the social causes and health consequences of stress experienced by caregivers of children, particularly in Latinx families and communities of color facing socioeconomic disadvantage. Dr. Keeton employs quantitative research methods, including statistical analyses, multi-level modeling, and specialized approaches to dyadic data analysis, to study how stress acts as a physiological contributor to metabolic disease and emotional dysregulation and how it leads to maternal-fetal programming that predisposes children to metabolic and mental health conditions. In addition to her academic role, she is a certified pediatric nurse practitioner with 20 years of clinical experience in pediatric primary care, particularly serving Latinx under-resourced populations in urban community and school-based health settings. Committed to increasing the number of Latinx-identifying scholars in nursing science, she actively promotes diversity, equity, and inclusion in health care. Dr. Keeton has previously held a role as nursing clinical faculty and program leader at the University of California, San Francisco, and has presented at local, national, and international audiences on topics related to pediatric health care, research, and education.

Research Interests

Experience

Clinical Faculty

— Present

University of California, San Francisco • San Francisco, CA

Spent 13 years as nursing clinical faculty with program leadership at UCSF School of Nursing.

Requirements for University of California, Davis

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:80
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Computer Science or related field ECS 120 (Theory of Computation) ECS 122A (Algorithm Design and Analysis) ECS 140A (Programming Languages) or ECS 160 (Software Engineering) ECS 150 (Operating Systems) or ECS 154B (Computer Architecture)
Application Checklist
  • Online application
  • Application fee
  • Three letters of recommendation
  • Transcripts
  • Statement of Purpose
  • Personal History Statement
  • CV/Resume
Specialization Notes

Department of Computer Science. GRE is NOT required.