Dr. Galen Reeves

Associate Professor

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Biography

Galen Reeves joined the faculty at Duke University in Fall 2013 as an Associate Professor with a joint appointment in the Department of Electrical and Computer Engineering and the Department of Statistical Science. He completed his Ph.D. in Electrical Engineering and Computer Sciences at the University of California, Berkeley in 2011. Following his doctorate, he worked as a postdoctoral associate in the Departments of Statistics at Stanford University from 2011 to 2013. His research interests encompass various aspects of information theory, high-dimensional statistical inference, statistical signal processing, and machine learning. In recognition of his contributions to the field, he received the NSF CAREER Award in 2017. Throughout his career, he has actively engaged in numerous research projects leading to multiple publications in prestigious journals and conferences.

Research Interests

Information Theory High-Dimensional Statistical Inference Statistical Signal Processing Compressed Sensing Machine Learning

Experience

Associate Professor

2013-08-01 — Present

Duke University • Durham, NC

Joint appointment in the Department of Electrical and Computer Engineering and the Department of Statistical Science.

Courses

STA 891: Topics Preliminary Exam Preparation Statistical Science STA 741: Compressed Sensing Related Topics STA 711: Probability Measure Theory STA 563: Information Theory STA 493: Research Independent Study STA 432: Theory Methods Statistical Learning Inference MATH 343: Theory Methods Statistical Learning Inference ECE 741: Compressed Sensing Related Topics ECE 587: Information Theory ECE 586D: Vector Space Methods Applications

Requirements for Duke University

Master Program
Requirements
GPA Requirement
Required:3.2
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:24
Speaking
Required:26
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Multivariable Calculus Introduction to Physics (mechanics) Introduction to Chemistry
Application Checklist
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  • Three Letters of Recommendation
  • Resume/CV
  • Application Fee ($95)
  • Video Introduction
Specialization Notes

Department of Biomedical Engineering (MS program)