Dr. David Carlson

Associate Professor

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Biography

David Carlson is an Associate Professor in the Department of Civil and Environmental Engineering at Duke University, where he focuses on the development of novel machine learning and artificial intelligence techniques to advance scientific discovery. His research includes applying fundamental theories and algorithms to environmental health, mental health, and neuroscience. Carlson has built extensive partnerships to deploy machine learning methods across diverse fields, amplifying the impact of data science on public health and environmental challenges. He obtained his Ph.D. from Duke University in 2015 and has held several key academic positions across multiple departments, including Biomedical Engineering and Computer Science. Carlson teaches courses that bridge statistical methods with computational applications in engineering and science. He is also a member of the Duke Institute for Brain Sciences and actively publishes in various high-impact journals, discussing the integration of machine learning approaches to solve complex societal and environmental problems.

Research Interests

Courses

STA 613: Statistical Methods ECE 899: Special Readings Electrical Engineering CEE 690: Advanced Topics Civil Environmental Engineering

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
  • Transcripts
  • Statement of Purpose
  • Three Letters of Recommendation
  • Resume/CV
  • Application Fee ($95)
  • Video Introduction
Specialization Notes

Department of Biomedical Engineering (MS program)