Dr. Miranda Tan

Assistant Professor

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Biography

Dr. Tan is a board-certified sleep medicine physician at the Sleep Medicine Center of Stanford Health Care and a clinical associate professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. Her specialization centers on diagnosing and treating both common and rare sleep disorders, utilizing a multidisciplinary approach focused on improving patients’ quality of life and long-term health outcomes. Dr. Tan is fellowship-trained and board-certified in sleep medicine as well as pulmonary and critical care medicine. Her research primarily aims to enhance the understanding of fatigue and sleep disorders, particularly in cancer patients and survivors. Dr. Tan's work emphasizes the beneficial potential of artificial intelligence and machine learning in improving diagnostic methods for sleep disorders. She has published extensively in renowned peer-reviewed journals, including the American Journal of Respiratory and Critical Care Medicine, Chest, and the Journal of Clinical Sleep Medicine. Moreover, she has served as an invited guest speaker and moderator at national meetings organized by the American College of Chest Physicians and the American Academy of Sleep Medicine. Dr. Tan is a fellow of the American College of Chest Physicians and an active member of the American Academy of Sleep Medicine and the American Thoracic Society.

Research Interests

Experience

Clinical Associate Professor

2019-01-01 — Present

Stanford University School of Medicine • Redwood City, CA

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.