David Carlson

Research Interests

Machine learning, predictive modeling, health data science, statistical neuroscience

Bio

My general research focus is on developing novel machine learning and artificial intelligence techniques that can be used to accelerate scientific discovery.  I work extensively both on the fundamental theory and algorithms as well as translating them into scientific applications.  I have extensive partnerships deploying machine learning techniques in environmental health, mental health, and neuroscience.  

Education

• Ph.D. Duke University, 2015

Positions

• Associate Professor of Civil and Environmental Engineering
• Assistant Professor in Biostatistics & Bioinformatics
• Assistant Professor in the Department of Electrical and Computer Engineering
• Assistant Professor of Computer Science
• Faculty Network Member of the Duke Institute for Brain Sciences

Courses Taught

• ME 555: Advanced Topics in Mechanical Engineering
• EGR 393: Research Projects in Engineering
• ECE 899: Special Readings in Electrical Engineering
• ECE 494: Projects in Electrical and Computer Engineering
• ECE 493: Projects in Electrical and Computer Engineering
• ECE 392: Projects in Electrical and Computer Engineering
• COMPSCI 394: Research Independent Study
• COMPSCI 393: Research Independent Study
• CEE 780: Internship
• CEE 702: Graduate Colloquium
• CEE 690: Advanced Topics in Civil and Environmental Engineering