At DYNAMO Lab, we develop intelligent algorithms to control and understand complex dynamical systems in biomedical applications. Our interdisciplinary approach bridges machine learning, control theory, and data science to tackle challenges ranging from cellular dynamics to human health. While our primary focus is on biomedical applications, we also explore intelligent control and data analysis techniques in areas like traffic optimization and change-point detection in temporal multispectral images.

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Research Areas
Artificial Intelligence and Machine Learning
Biomedical, Health, and Life Sciences
Faculty
Heman Shakeri
Assistant Professor of Data Science
School of Data Science