Dr. Andrew Mannix

Assistant Professor

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Biography

Andy Mannix is an Assistant Professor in the Department of Materials Science and Engineering at Stanford University. His research focuses on tailoring materials with atomic scale control of electronic properties to drive advances in electronic, optoelectronic, and quantum technologies. The Mannix group specializes in the growth, fabrication, and characterization of two-dimensional (2D) materials and van der Waals interfaces, developing platforms for deterministic atomic-scale engineering. The lab develops growth techniques to produce 2D semiconductor films with minimal defects and tuned doping. It also optimizes interfaces for integrated nanoscale devices and evaluates their performance. Leveraging machine learning and artificial intelligence, the lab accelerates material quality assessments and pioneers robotic assembly methods for van der Waals heterostructures in high and ultra-high vacuum environments. Mannix's expertise in scanning probe microscopy and advanced atomic force microscopy enables exploration of material structure and properties at atomic precision. He has received the Office of Naval Research Young Investigator Program Award and the NSF CAREER Award in 2024.

Research Interests

Experience

Assistant Professor

2020-01-01 — Present

Stanford University • Stanford, California

Teaching and conducting research in Materials Science and Engineering.

Awards

#2024

Office of Naval Research Young Investigator Program Award

2024-01-01
#2024

NSF CAREER Award

2024-01-01

Courses

MATSCI 232 ENGR 50E MATSCI 50E MATSCI 230 MATSCI 184 MATSCI 214 MATSCI 392 MATSCI 200 MATSCI 400 MATSCI 300 MATSCI 299 MATSCI 100 MATSCI 150

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.