Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Data Science Meets Metabolomics

Free webinar at 1:00 p.m. Eastern time (US), February 11, 2026

Tune in to hear Juergen Hahn, M.S., Ph.D., ARI Scientific Advisory Board member, discuss how using machine learning can lead to biomarker discoveries in autism research.

Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Data Science Meets Metabolomics

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About the speaker:

Juergen Hahn, M.S., Ph.D. Rensselaer Polytechnic Institute

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.

  • Biomarkers DNA image
2025-10-23T14:04:24-05:00

Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Data Science Meets Metabolomics

2025-10-23T14:04:24-05:00February 11th, 2026|Biomarkers, Genetics, Health, Immune Issues, Medical Care, Neurological, Research, Research, Webinar|

Free webinar at 1:00 p.m. Eastern time (US), February 11, 2026 Tune in to hear Juergen Hahn, M.S., Ph.D., ARI Scientific Advisory Board member, discuss how using machine learning can lead to biomarker

The post Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Data Science Meets Metabolomics appeared first on Autism Research Institute.

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