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University of Missouri
School of Medicine
810 Rollins Street
Mathematical Sciences Bldg. 121
Columbia, MO 65211
noah.marchal@health.missouri.edu
Research
Research
Topics
Topics
Clinical Health Informatics
Remote Biophysical Sensor Monitoring
Methods
Methods
Continual machine learning of time-series and electronic health record data utilizing: [I] Adaptive Feedback, [II] Decision Ensembling, [III] Meta-models, and [IV] Streaming Clustering.
Computational guided assessment of biophysical function using: [I] Ubiquitous, [II] Teleoperational, and [III] Wearable Technologies.
Education
Education
Ph.D. Informatics, University of Missouri Dec. 2025
M.Sc. Data Science, University of Missouri 2021
M.F.A., Rensselaer Polytechnic Institute 2008
Interdisciplinary Electronic Arts
B.F.A., School of the Art Institute of Chicago 2004
Research Experience
Research Experience
Data Analyst, University of Missouri - School of Medicine 2023 -
Biomedical Informatics, Biostatistics and Medical Epidemiology Dept.
Research Programmer, University of Missouri - College of Engineering 2017 - 2023
Center for Eldercare and Rehabilitation Technology
Research Engineer, University of Missouri - Psychological Sciences 2012 - 2018
Rehabilitation Neuroscience Laboratory
Research Assistant / Adjunct Faculty, University of Oregon - Psychology Department 2009 - 2011
Human Neuroimaging and TMS Laboratory
Junior Research Specialist, University of California at Davis - Center for Mind and Brain 2007 - 2009
Music and Cognition Laboratory
Publications
Publications
Lee, K., Marchal, N., & Powell, K. R. (2025). Using Sensor Data to Inform Safe and Healthy Lifestyle During Periods of Confinement of Older Adults. JMIR mHealth and uHealth, Prepress.
Marchal, N., Janes, W. E., Earwood, J. H., Mosa, A. S. M. M., Popescu, M., Skubic, M., & Song, X. (2025). Integrating Multi-sensor Time-series Data for ALSFRS-R Clinical Scale Predictions in an ALS Patient Case Study. AMIA Annual Symposium proceedings. American Medical Informatics Association Symposium, 2024.
Janes, W.E., Marchal, N., Song, X., Popescu, M., Mosa, A.S., Earwood, J.H., Jones, V., & Skubic, M. (2024). Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study. JMIR Research Protocols, 14.
Marchal, N., Skubic, M., & Scott, G.J. (2023). Stepping Beyond Assessment: Fall Risk Prediction Models Among Older Adults from Cumulative Change in Gait Parameter Estimates. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023, 1135-1144
Saied-Walker, J., Gupta, P., Yi, R., Marchal, N., Skubic, M., & Scott, G.J. (2023). GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. 2023 IEEE International Conference on Big Data (BigData), 2541-2549.
doi: https://doi.org/10.1109/BigData59044.2023.10386390
Bajkowski, T.M., Marchal, N., Saied-Walker, J., Gupta, P., Keller, J.M., Skubic, M., & Scott, G.J. (2023). Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-8.
doi: https://doi.org/10.1109/FUZZ52849.2023.10309762
Robinson E, Tefera GM, Park G, Skubic M, Marchal N, Popescu M, Keller J, Marilyn R. Deploying In-Home Sensors to Community-Dwelling Older Adults: Adoption of Technology and Lessons Learned. Innov Aging. 2022 Dec 20;6(Suppl 1):741.
doi: https://doi.org/10.1093/geroni/igac059.2697. PMCID: PMC9767039.
G. J. Scott, J. Saied-Walker, N. Marchal, H. Yu and M. Skubic, "HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data," 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 2022, pp. 2972-2975
doi: https://doi.org/10.1109/EMBC48229.2022.9871855.
J. Saied-Walker, P. Gupta, R. Yi, N. Marchal, M. Skubic and G. J. Scott, "Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3124-3130,
doi: https://doi.org/10.1109/BigData55660.2022.10020369.
Valyear, K. F., Philip, B. A., Cirstea, C. M., Chen, P. W., Baune, N.A., Marchal, N., & Frey, S. H. (2020). Interhemispheric transfer of post-amputation cortical plasticity within the human somatosensory cortex. NeuroImage, 206(September 2019), 116291.
doi: https://doi.org/10.1016/j.neuroimage.2019.116291
Frey, S. H., Hansen, M., & Marchal, N. (2015). Grasping with the Press of a Button: Grasp-selective Responses in the Human Anterior Intraparietal Sulcus Depend on Nonarbitrary Causal Relationships between Hand Movements and End effector Actions. Journal of cognitive neuroscience, 27(6), 1146–1160.
doi: https://doi.org/10.1162/jocn_a_00766
Honors
Honors
Rockefeller Fellowship for New Media Finalist 2008
Humanities, Arts, Architecture, and Social Sciences Fellowship, RPI 2005-2007
School of Humanities and Social Sciences Research Grant, RPI 2005-2006
BFA Post-Bacc Fellowship, School of the Art Institute of Chicago 2004
Poster Presentations
Poster Presentations
Marchal, N., Demiris, G., Harrison, S., Hodgson, N., Richmond, T. S., Sefcik, J. S., Skubic, M., & Song, X. (2024). Incremental Learning Enhances TUG Score Estimation for Precision Monitoring. Poster presented at the 14th Missouri Data Science and Informatics Symposium, Columbia, MO.
Marchal, N., Janes, W., & Song, X. (2024). Predicting ALSFRS-R Functional Rating Scales With In-Home Sensor Health Features. Poster presented at the NextGen Motor Neuron Symposium, Columbia, MO.
Marchal, N., Popescu, M., Proffitt, R., & Song, X. (2024). Clinical Sensor-based Adverse Event Prediction Models of Rural Older Missourians. Poster presented at the Nexus Informatics Conference, Kansas City, MO.
Lee, K., Marchal, N., & Powell, K. (2024). The Application of In-home Sensor to Promote Safe and Healthy Lifestyle for Older Adults During Periods of Confinement. Poster presented at the AMIA Clinical Informatics Symposium.
Marchal, N., Scott, G. J., & Skubic, M. (2022). Assessing fall risk in older adults with modeled gait parameter estimates computed from depth image centroids during walks. Poster presented at the 12th Missouri Data Science and Informatics Symposium, Columbia, MO.
Hansen, M.D., Marchal, N., & Frey, S.H. 2011. Neural Encoding of Teleoperated Reaching and Grasping Using a Button-controlled Robotic Arm. Poster presented at the 41st annual meeting of Society for Neuroscience, Washington, D.C.
Hansen, M. D., Marchal, N., & Frey, S. H. 2010. Parieto-premotor Contributions to Planning and Execution of Grasping Movements. Poster presented at the 40th annual meeting of Society for Neuroscience, San Diego, CA.
Mentors
Mentors
Xing Song, Ph.D.
Health Management Informatics
Biomedical Informatics, Biostatistics and Medical Epidemiology
University of Missouri School of Medicine
xsm7f@health.missouri.edu
Mihail Popescu, Ph.D.
Bioinformatics
Biomedical Informatics, Biostatistics and Medical Epidemiology
University of Missouri School of Medicine
PopescuM@health.missouri.edu
Marjorie Skubic, Ph.D.
Center to Stream Healthcare in Place
Electrical Engineering and Computer Science
University of Missouri College of Engineering
SkubicM@missouri.edu
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