Dr. David Camarillo

Associate Professor

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Biography

David B. Camarillo is an Associate Professor of Bioengineering at Stanford University. He holds a B.S.E in Mechanical and Aerospace Engineering from Princeton University and a Ph.D. in Mechanical Engineering from Stanford University. Camarillo completed postdoctoral fellowships in Biophysics at UCSF and Biodesign Innovation at Stanford. His career includes significant contributions to the surgical robotics industry with companies like Intuitive Surgical and Hansen Medical, and he established his lab at Stanford in 2012. His current research emphasizes precision human measurement across various clinical physiological areas such as the brain, heart, lungs, and reproductive system. Camarillo has received several honors including the Hellman Fellowship and the Office of Naval Research Young Investigator Program award, alongside multiple achievements in paper awards relating to brain injury and robotic surgery. His work has been funded by NIH, NSF, and DoD, as well as through private philanthropic initiatives. The impact of his research has been recognized by media outlets including NPR and The New York Times, highlighting its significance in educating the public on advancements in the field of bioengineering.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, CA

Teaching and leading research in Bioengineering, focusing on surgical robotics and human physiological measurement.

Awards

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Hellman Fellowship

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Office of Naval Research Young Investigator Program award

Courses

BIOE 393 OSP MAD RD 60M BIOE 191 BIOE 392 BIOE 391 BIOE 282 BIOE 283 BIOE 296

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.