Dr. Natalie Lui

Assistant Professor

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Biography

Natalie Lui is an Assistant Professor in Cardiothoracic Surgery at Stanford University, specializing in thoracic oncology and robotic thoracic surgery. She completed her undergraduate degree in Physics at Harvard University and earned her medical degree from Johns Hopkins School of Medicine. Dr. Lui completed her general surgery residency at the University of California, San Francisco, where she focused on research at the UCSF Thoracic Oncology Laboratory. Following her residency, she held a fellowship in Thoracic Surgery at Massachusetts General Hospital and participated in visiting rotations at renowned institutions such as Memorial Sloan Kettering and Mayo Clinic. Her clinical and research interests include intraoperative molecular imaging for lung cancer localization, increasing rates of lung cancer screening, and employing artificial intelligence to predict lung cancer recurrence. Dr. Lui is actively involved in teaching and has received several awards for her contributions to education and research in thoracic surgery. Her research aims to improve outcomes in lung cancer surgery and enhance the understanding of minimally invasive surgical techniques.

Research Interests

Experience

Assistant Professor

2016-01-01 — Present

Stanford University • Stanford, California

Engaged in teaching and clinical practice in Cardiothoracic Surgery.

Awards

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Donald B. Doty Educational Award

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Dwight C. McGoon Teaching Award

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Carolyn E. Reed Traveling Fellowship

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.