Addison Schwamb

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Hi, I'm Addison. I am an electrical engineer by training who develops dynamical systems models of the brain for use in clinical neuroscience. I am currently an assistant professor of Computer Science and Neuroscience at Rhodes College. You can see some of my research work in the paper highlights on the main page, or in my CV below. Information about the courses I've taught including syllabi can be found on my Teaching page. Are you a student at Rhodes looking do research with me? If so, come see me during my office hours! You can find my up-to-date office hours on the schedule on my office door, Briggs 208. Are you a current graduate student, or considering graduate school? Check out the Resources page for some of the helpful resources I've used during my PhD.

Curriculum Vitae

Education

Washington University in Saint Louis

PhD Electrical Engineering (August 2025)

Cognitive, Computational, and Systems Neuroscience Pathway

  Dissertation: Large-Scale Modeling & Inference of Non-Stationary Brain Dynamics

  Advisor: ShiNung Ching

Oklahoma Christian University

BSCE Computer Engineering, Software Emphasis (April 2020)

Research Interests

Clinical neuroscience presents an especially compelling domain for the engineering of digital twins, i.e., computational models that can serve as in silico replicas of individuals’ physiology. A particular prevailing challenge in this context is the assimilation of physiological data spanning multiple spatial and temporal scales. The overall goal of my envisioned research program is to enable the development of digital twins that embed formal, transparent physiological dynamics through advances in statistical signal processing, estimation, and control.

Publications

Journals

  • A. Schwamb, Z. Yu, and S. Ching, “Blind identification of state transitions and latent neural dynamics from electrophysiological recordings,” Journal of Neuroscience Methods, vol. 425, 2025.
  • A. Schwamb, Z. Yu, and S. Ching, “Identification of modulated whole-brain dynamical models from nonstationary electrophysiological data,” Journal of Neural Engineering, 2025.

Conference Proceedings

  • A. Schwamb, M. Singh, R. Guerriero, and S. Ching, (2024) “Data-driven modeling of neural dynamics from EEG to track physiological changes,” in IEEE Engineering in Medicine and Biology Conference (2024)
  • Z. Xiong, A. Schwamb, B. Palanca, and S. Ching, “Estimating and detecting slow wave events in EEG,” in IEEE Engineering in Medicine and Biology Conference (2024)
  • S. Mantell, N. Sapong, A. Schwamb, D. Mascareñas, and A. Cattaneo, (2021) “Techniques to improve robustness of video-based sensor networks.” Data Science in Engineering, Vol. 9, Conference Proceedings of the Society for Experimental Mechanics Series
  • A. Schwamb, L. Frisco, P. Androulakakis, S. Susanto, and Z. Fuchs, (2019) “Implementation of an open-loop turn circle intercept controller” in IEEE Conference on Control Technology and Applications

Conference Activity

Oral Presentations

  • A. Schwamb and S. Ching, “Identifying latent neuromodulatory brain states within individualized cortical dynamics,” Society for Neuroscience, October 5-9, 2024, Chicago, IL.
  • A. Schwamb, M. Singh, R. Guerriero, and S. Ching, “Data-driven modeling of neural dynamics from EEG to track physiological changes,” Engineering in Medicine & Biology Conference, July 15-19, 2024, Orlando, FL.
  • A. Schwamb for S. Ching, “Dynamical systems-based digital twins for personalized neurocritical care,” American Control Conference Cybermedicine Workshop, July 8-9, 2024, Toronto, ON.
  • S. Mantell, N. Sapong, A. Schwamb, D. Mascareñas, and A. Cattaneo, “Techniques to improve robustness of video-based sensor networks.” SEM International Modal Analysis Conference, February 8-11 2021, Virtual.
  • A. Schwamb, L. Frisco, P. Androulakakis, S. Susanto, and Z. Fuchs, “Implementation of an open-loop turn circle intercept controller.” IEEE Conference on Control Technology and Applications, August 19-21, Hong Kong.

Poster Presentations

  • C. Gilman, A. Schwamb, T. Fulton, R. Landre, S. Ching, and R. Guerriero, “Quantitative electroencephalography trends preceding cardiac arrest in pediatric patients.” American Clinical Neurophysiology Society, February 28 - March 3, 2024, Orlando, FL.
  • M. Loe, A. Schwamb, J. Wagner, R. Landre, M. Morrissey, S. Tomko, R. Guerriero, and S. Ching, “Spatiotemporal characterization of unilateral electrophysiological depression in two pediatric patients.” Society for Neuroscience, November 11-15, Washington, DC.
  • A. Schwamb and S. Ching, “Remapping of task-relevant attractor dynamics in lesioned network models via low-dimensional feedback.” Society for Neuroscience, November 12-16, San Diego, CA.
  • A. Schwamb, G. Vedovati, T. Papouin, and S. Ching, “Astrocytic contextual guidance of learning and memory in recurrent neural networks.” MURI recipients meeting, September 8-9, 2022, Boston, MA.
  • A. Schwamb, M. Loe, J. Wagner, S. Khanmohammadi, L. Eisenmann, O. Laurido-Soto, T. Kummer, and S. Ching, “High-frequency specific spreading depression in EEG of traumatic brain injury patients.” Society for Neuroscience, November 3-7, 2021, Virtual.

Research Mentees

Current:

  • Jake Arroyo (‘27)
  • Rachel Thomas (‘27)
  • Jorge Garcia (‘28)
  • Muzna Hangora (‘29)
  • Selin Hassanli (‘29)
  • Rubaiya Islam (‘29)
  • Sahaf Mahmud (‘29)
  • Tanji Rahman (‘29)

Alumni:

  • Sidharth Loganathan (‘26)
  • Abril Unda (‘26)
  • Maanasa Yepuru (‘26)
  • Sophia Zamora (‘26)

Teaching

Assistant Professor of Computer Science Rhodes College

Fall 2026:

  • Introduction to Computer Organization (COMP231)
  • Data Mining (COMP345)

Spring 2026:

  • Introduction to Computer Science (COMP141)
  • Introduction to Computer Organization (COMP231)
  • Data Structures & Algorithms (COMP241)

Fall 2025:

  • Introduction to Computer Science (COMP141)
  • Data Mining

Honors and Awards

Washington University in Saint Louis

Translational Neuroscience & Neurotechnology Training Program fellow (NINDS T-32) (July 2023 - July 2025)

Outstanding Graduate Assistant Instructor (April 2022)

National Science Foundation

Graduate Research Fellowship Program Honorable Mention (April 2021)

Academic Service

Internal Service Women in Computer Science Faculty Mentor (25-26)

External Service Reviewer:

  • ACM Special Interest Group on Computer Science Education (2026)
  • IEEE Conference on Control Technology and Applications (2025)
  • IEEE Control Systems Letters (2022)