David Carlson

David Carlson is the Yoh Family Associate Professor of Civil and Environmental Engineering at Duke University. He is affiliated with the Civil and Environmental Engineering department and holds research interests in machine learning, predictive modeling, health data science, and statistical neuroscience. His work focuses on developing novel machine learning and artificial intelligence techniques for scientific discovery, with applications in environmental health, mental health, and neuroscience. He is also involved in teaching various courses related to engineering and computational biology.

David E. Carlson is an Associate Professor at Duke University, specializing in Machine Learning, Deep Learning, Data Science, Environmental Health, and Brain Models. His research integrates machine learning techniques with environmental and neuroscience applications to address complex challenges. Carlson's work includes developing advanced algorithms for deep neural networks, evaluating low-cost particulate matter sensors, and exploring brain-wide electrical dynamics. He also investigates the impact of prenatal environmental stressors on behavior and employs geometric deep learning for 3D kinematic analysis. His interdisciplinary approach bridges computational methods with real-world problems in health and environmental science.