Noah Marchal

I'm a research analyst at the University of Missouri School of Medicine and a PhD candidate at the MU Institute for Data Science and Informatics.

My long-term research interests are in responsive or natural computation: processes which incorporate real-world event phenomena with computational structures as a model for ambient intelligence. 

My PhD dissertation research topic is on the use of pervasive computing and AI in the healthcare domain, focusing on novel machine learning models of multi-modal biophysical sensor and electronic medical record data for addressing progressive functional decline in aging and neurodegenerative diease patients. The primary application is to provide support for clinicial decision making through the use of continual, incremental learning and decision ensembling techniques and precision health analytics by targeting clinical functional instruments with remote sensor data. I have additional interests in the computational mediation of human motor function and impact of biotelemetry monitoring on quality of life. 

When not crunching numbers and chewing pencils, I enjoy spending quality time with my family, studio and en plein air landscape painting, LEGOs, distance running, cycling, board games, sudoko, and reading new papers.