Dr. Laura Graham

Instructor

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Biography

Laura Graham is an epidemiologist and health services researcher with 20 years of experience focusing on surgical outcomes research. Her work aims to improve healthcare delivery outcomes for veterans and vulnerable populations, particularly older individuals with complex medical needs. Utilizing large administrative datasets from the Veterans Health Administration, she studies surgical processes and outcomes to inform system-level improvements. With postdoctoral training in health economics and implementation science, Laura brings expertise in causal inference methodology and artificial intelligence, particularly in the application of natural language processing (NLP). She applies these methods to extract insights from unstructured clinical data, enhancing causal analyses of complicated healthcare datasets. Laura is a collaborative leader who has mentored junior investigators and has worked across academic and industry sectors to advance health services research. Ultimately, her goal is to translate evidence into practice, improving the quality of surgical care for veterans.

Research Interests

Experience

Instructor

2025-01-01 — Present

Stanford University • Stanford, CA

Teaching staff focused on surgical policy improvement and research.

Casual - Non-Exempt

— Present

Distinguished Careers Institute • Stanford, CA

Awards

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Butler-Williams Scholars Program

2025-08-27
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VISN 12 Early Career Award Program Awardee

2022-10-01
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Lawrence M. Brass Stroke Research Award

2017-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.