Dr. Yair Bannett

Assistant Professor

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Biography

Dr. Yair Bannett is an Assistant Professor in the Department of Pediatrics at Stanford University, with a focus on Developmental-Behavioral Pediatrics. He completed his medical education at Hebrew University in Israel, followed by a pediatrics residency at Tel Aviv University. After working as a community-based primary care provider in Israel, he joined Stanford in 2016 to complete a clinical fellowship in Developmental-Behavioral Pediatrics. During his fellowship, he became involved in community-based health services research and mentorship under notable faculty. In 2021, he earned a master's degree in Health Research Policy from Stanford and received a K23 career development award from the National Institute of Mental Health in 2022. As the director of the Advanced Informatics Mental Health Lab, Dr. Bannett emphasizes leveraging artificial intelligence technology to enhance healthcare delivery for children with developmental and mental health conditions. His research aims to develop quality measures for managing these conditions in primary care settings, employing techniques such as natural language processing to analyze electronic health record data. He is dedicated to collaborating with data scientists to improve health outcomes for this vulnerable population.

Research Interests

Experience

Assistant Professor

— Present

Stanford University • Palo Alto, CA

Engaged in teaching, research, and clinical practice in Developmental-Behavioral Pediatrics.

Awards

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Career Development (K23) Award

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Bridge K Instructor Support Program

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Young Investigator Research Grant Award

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Charles B. Woodruff Endowed Fellow: Clinical Trainee Grant

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.