Curriculum Vitae

Noah Marchal 

University of Missouri

School of Medicine 

810 Rollins Street

Mathematical Sciences Bldg. 121

Columbia, MO 65211

noah.marchal@health.missouri.edu

Research 

Topics

• Clinical and Personal Health Informatics

• Sensor-based Biophysical Monitoring 

• Human Motor Performance

Methods

• Continual machine learning of time-series and electronic health record data utilizing: [I] Adaptive Feedback,  [II] Decision Ensembling, [III] Meta-modeling, and [IV] Data Stream Clustering.

• Computational guided assessment of biophysical and motor function using: [I] Ubiquitous, [II] Kinematic, and [III] Wearable Technologies.

Education

Ph.D. Informatics, University of Missouri, 2025 

• Health Informatics

M.Sc. Data Science, University of Missouri, 2021

• Biotechnology

M.F.A., Rensselaer Polytechnic Institute, 2008

• Integrated Electronic Arts

B.F.A., School of the Art Institute of Chicago, 2004

• Art and Technology Studies, Painting and Drawing

Research Experience

Data Analyst - University of Missouri, School of Medicine       2023 -       

• Biomedical Informatics, Biostatistics and Medical Epidemiology Department

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 Davis , Center for Mind and Brain                                    2007 - 2009

• Janata Music and Cognition Laboratory

Publications

Marchal, N., Janes, W. E., Earwood, J. H., Mosa, A. S. 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, 2024, 788–797. https://pmc.ncbi.nlm.nih.gov/articles/PMC12099412/

Lee, K., Marchal, N., L Robinson, E., & Powell, K. R. (2025). Behavioral Markers in Older Adults During COVID-19 Confinement: Secondary Analysis of In-Home Sensor Data. JMIR mHealth and uHealth, 13, e56678. https://doi.org/10.2196/56678

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.

https://doi.org/10.2196/60437

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 https://pubmed.ncbi.nlm.nih.gov/38222345/

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. 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. https://doi.org/10.1109/FUZZ52849.2023.10309762

Robinson, E., Tefera, G. M., Park, G., Skubic, M., Marchal, N., Popescu, M., Keller, J., & Rantz, M. (2022). Deploying in-home sensors to community-dwelling older adults: Adoption of technology and lessons learned. Innovation in Aging, 6(Supplement_1), 741. https://doi.org/10.1093/geroni/igac059.2697

Scott, G. J., Saied-Walker, J., Marchal, N., Yu, H., & Skubic, M. (2022). HTIDB: Hierarchical time-indexed database for efficient storage and access to irregular time-series health sensor data. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 2972–2975). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871855

Saied-Walker, J., Gupta, P., Yi, R., Marchal, N., Skubic, M., & Scott, G. J. (2022). Enabling scalable analytics of physiological sensor and derived feature multi-modal time-series with big data management. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 3124–3130). IEEE. 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. 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. https://doi.org/10.1162/jocn_a_00766

Honors

• Deans Graduate Honors List, University of Missouri 2019-2023

• Rockefeller Fellowship for New Media Nominee 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

• Marchal, N., Janes, W., Popsecu, M., & Song, X. (2025). Estimating Between Clinic Visit ALS Progression Tracking with In-home Sensor Monitoring. Poster presented at ALS Nexus Conference, Dallas, TX.

• 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 

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