Curriculum Vitae
Center for Eldercare and Rehabilitation Technology
College of Engineering
University of Missouri
Columbia, MO 65211
MarchalN@missouri.edu
Research
Topics
Explainable AI for Clinical Health Analytics
Ubiquitous Computing
Methods
Continual machine learning model building and feature engineering for time-series based sensor data and electronic health records utilizing: [I] Adaptive Feedback, [II] Meta-information and [III] Meta-models, [IV] Streaming Clustering.
Computational mediation of human motor function using [I] Biophysical Sensors, [II] Kinematics, [III] Teleoperational, [IV} Mobile, and [V] Wearable Technologies.
Education
Ph.D. Informatics, University of Missouri 2025 (expected)
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
Work Experience
Programmer Analyst, University of Missouri 2017 - current
Center for Eldercare and Rehabilitation Technology (College of Engineering)
Research Engineer, University of Missouri 2011-2017
Rehabilitation Neuroscience Laboratory (Psychological Sciences)
Research Assistant / Adjunct Faculty, University of Oregon 2009-2011
Human Neuroimaging and TMS Laboratory (Psychology Department)
Junior Research Specialist, University of California at Davis 2007-2009
Music and Cognition Laboratory (Center for Mind and Brain)
Computational Engineer, SUNY, Purchase College 2004-2005
New Media Studies Program (Department of Natural Sciences)
Publications
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
Rockefeller New Media Fellowship Nominee 2008
Humanities, Arts, Architecture, and Social Sciences Fellowship, RPI 2005-2007
School of Humanities and Social Sciences Research Grant, RPI 2005-2006
BFA Fellowship, School of the Art Institute of Chicago 2004
Poster Presentations
Marchaln, N. 2022. Assessing Fall Risk in Older Adults with Modeled Gait Parameter Estimates Computed from Depth Image Centroids During Walks. Poster presented at MUIDSI 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.
Biomedical Informatics, Biostatistics and Medical Epidemiology
Health Management and Informatics
School of Medicine
University of Missouri
Grant Scott, Ph.D.
High-Performance Data-Intensive Computing Systems Laboratory
Electrical Engineering and Computer Science
College of Engineering
University of Missouri
Marjorie Skubic, Ph.D.
Center for Eldercare and Rehabilitation Technology
Electrical Engineering and Computer Science
College of Engineering
University of Missouri