Dr. Maya Adam

Assistant Professor

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Biography

Maya Adam is a Clinical Associate Professor in the Department of Pediatrics at Stanford University School of Medicine, focusing on health media innovation and global health communication. She directs the Health Media Innovation program and serves as the Associate Director of the Center for Digital Health. Adam's research emphasizes the impact of innovative, video-based entertainment-education approaches in promoting health. She creates educational online courses and short animated films addressing topics such as maternal and child health, nutrition, and mental health. Adam has led numerous massive open online courses (MOOCs) with over a million participants worldwide and conducts randomized controlled trials to evaluate the effectiveness of digital health education interventions. Her collaborations include partnerships with the Heidelberg Institute of Global Health in Germany. Adam authored the guide 'Food, Love, Family: A Practical Guide for Child Nutrition'. Additionally, she has received multiple awards for her contributions to audio/video production in clinical science research.

Research Interests

Experience

Clinical Associate Professor

2020-01-01 — Present

Stanford University • Stanford, CA

Oversees health media innovation initiatives and leads research in global health communication.

Awards

#2023

Gold Award Audio/Video Production

2023-01-01
#

Clinical Science Research Award

2023-01-01

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.