Dr. Michele Patel

Instructor

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Biography

Michele L. Patel is a trained clinical health psychologist and an instructor at the Stanford Prevention Research Center, part of Stanford University's School of Medicine. Her research focuses on optimizing scalable digital health interventions for adults dealing with obesity. Dr. Patel leads clinical trials to test innovative strategies that address the significant challenge of suboptimal engagement with digital interventions. Her work is supported by a K23 NIH career development award (2022-2027) and examines various self-monitoring strategies within behavioral weight loss interventions. She is currently chairing the Optimization of Behavioral Biobehavioral Interventions special interest group for the Society for Behavioral Medicine. Dr. Patel received her PhD in clinical psychology from Duke University and has expertise in randomized clinical trials, systematic reviews, and signal detection analysis.

Research Interests

Experience

Instructor

2021-01-01 — Present

Stanford Prevention Research Center • Palo Alto, California

Conducts research and leads clinical trials focused on obesity interventions.

Awards

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Jules Hirsch Innovation Award

2025-01-01
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K23 Mentored Patient-Oriented Research Career Development Award

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Outstanding Dissertation Award

2019-01-01
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Aleane Webb Dissertation Research Fellowship

2017-01-01
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Dissertation Research Award

2016-01-01
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E. Bayard Halsted Scholarship

2016-01-01
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George Bray Master's Thesis Award

2015-01-01
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Karl E. Zener Award

2010-01-01

Courses

CHPR 399 CHPR 290 CHPR 199

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.