Uploaded February 2026 | Updated September 2026, 3 weeks ago
Hear Juergen Hahn, Ph.D., Rensselaer Polytechnic Institute and ARI Scientific Advisory Board member, discuss how using machine learning can lead to biomarker discoveries in autism research.
Dr. Hahn’s research focuses on the development of new systems analysis techniques and their application in systems biology as well as for traditional chemical engineering processes. Special emphasis is placed on methods for nonlinear systems that can take into account significant levels of uncertainty in the model. Applications of these techniques include sensitivity analysis of signal transduction pathways, biomarker identification for autism spectrum disorder, model reduction for controller design, and experimental and sensor network design.
Hear Juergen Hahn, Ph.D., Rensselaer Polytechnic Institute and ARI Scientific Advisory Board member, discuss how using machine learning can lead to biomarker discoveries in autism research.
Dr. Hahn’s research focuses on the development of new systems analysis techniques and their application in systems biology as well as for traditional chemical engineering processes. Special emphasis is placed on methods for nonlinear systems that can take into account significant levels of uncertainty in the model. Applications of these techniques include sensitivity analysis of signal transduction pathways, biomarker identification for autism spectrum disorder, model reduction for controller design, and experimental and sensor network design.
