Dr. Hilary Aralis

Assistant Professor

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Biography

Hilary Jeanne Aralis is an Adjunct Associate Professor at UC Davis Health specializing in Biostatistics within the Department of Public Health Sciences. Her research focuses on developing and evaluating methodologies for interventions in integrated healthcare settings, including home, educational, and community environments. She employs a range of methodological approaches such as longitudinal hierarchical modeling, observational quasi-experimental designs, and stochastic modeling to analyze health trajectories with incomplete data. Her work addresses various areas, including behavioral health, military health, perinatal exposures, school-based interventions, homelessness, trauma resilience, HIV/AIDS, and dementia. Aralis has a particular interest in adapting and evaluating interventions using real-world data. With advanced degrees in statistics and biostatistics from reputable institutions, she has been recognized with various awards throughout her academic career, highlighting her contributions to the field of public health and biostatistics.

Research Interests

Awards

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Faculty Career Development Award

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Carolbeth Korn Prize

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National Institutes Health Pre-Doctoral Training Grant

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Dean’s Leadership Grant Award

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Phi Kappa Phi Honor Society

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.