Scott D. Pauls
Professor
Appointments
Interim Dean of Undergraduate Education
Professor of Mathematics
Area of Expertise
Complex Systems,
Sub-Riemannian Geometry
Biography
Professor Pauls' research in mathematics focuses on building and analyzing network models for social, biological, and physical systems. In his theoretical work, he aims to find network theoretic signatures for outcomes of dynamical processes. Recently, he has been able to apply these techniques to systems in political science, economics, neuroscience, and environmental science.
Education
B.A. Columbia University
Ph.D. University of Pennsylvania
Publications
Kursav, M. N., Pauls, S. D., Bonfert-Taylor, R., Loeb, L., Ray, L. Accelerating Change of Practice through Targeted Professional Development in Data Science, Journal of Statistics and Data Science Education, (2025), 1-16. https://doi.org/10.1080/26939169.2025.2479012
Yao, Y., Pauls, S. D., Foley, D., Yoshikawa, T., Honma, S., Honma, K.-I., McVeigh, E., Foley, N., Silver, R. Suprachiasmatic Nucleus-wide Estimation of Oscillatory Temporal Dynamics, PLoS Comput Biol 21(3): e1012855 (2025). https://doi.org/10.1371/journal.pcbi.1012855
Jones, M., Pauls, S. D., Fu, F., Containing misinformation: Modeling spatial games of fake news, PNAS Nexus, 3(3), (2024), 090. https://doi.org/10.1093/pnasnexus/pgae090
Tripp, E., Fu, F., Pauls, S. D., Evolutionary Kuramoto Dynamics, Proceedings of the Royal Academy, B, 289 (2022). (https://doi.org/10.1098/rspb.2022.0999)
Jones, M.**, Pauls, S. D., Fu, F., The dual problems of coordination and anti-coordination on random bipartite graphs, New J. Physics 23 (2021), 113018. (https://iopscience.iop.org/article/10.1088/1367-2630/ac3319/meta)
Spencer, C.*, Tripp, E.**, Fu, F., Pauls, S. D. Evolutionary constraints on connectivity patterns in the mammalian supra-chiasmatic nucleus. Frontiers in Network Physiology, 1 (2021), 3. (https://doi.org/10.3389/fnetp.2021.716883)
Yoshikawa, T., Pauls S. D., Foley, N., Taub, A., LeSauter, J., Honma, K-I., Honma, S., Silver, R., Phase Gradients and Anisotropy of the Suprachiasmatic Network: Discovery of Phaseoids, eNeuro 8(5) (2021). (https://doi.org/10.1523/ENEURO.0078-21.2021)
Jones, M.**, Pauls, S. D., Fu, F., Random Choices Facilitate Solutions to Collective Network Coloring Problems by Artificial Agents, iScience. 24(4) (2021), 102340. (https://doi.org/10.1016/j.isci.2021.102340)
Cogswell, C., Pauls, S. D., Gauthier, A., DeSilva, E., Schroer, K., Agile and Active: Sustaining Pedagogical Change in a Large-Enrollment Calculus Course, J. Effective Teaching. 2(2) (2019), 1-22. (https://doi.org/10.36021/jethe.v2i2.32)
DeFord, D. R. and Pauls, S. D., Spectral clustering methods for multiplex networks, Physica A. 533 (2019), 121949. (https://doi.org/10.1016/j.physa.2019.121949)
Khoo, T., Fu, F., Pauls, S. D., Double-edged effect of spillover on cooperation in multiplex games, Scientific Reports, 8 (2018), 6922. (https://doi.org/10.1038/s41598-018-25025-3)
Leib-Lappan, R.**, Kumar, D.*, Obbard, R., and Pauls, S. D. A network model for characterizing brine channels in sea ice, The Cryosphere, 12 (2018), 1013-1026. (https://doi.org/10.5194/tc-12-1013-2013)
DeFord, D. R. and Pauls, S. D., A new framework for dynamics on multiplex networks, J. Complex Networks, 6(3) (2018), 353-381. (https://doi.org/10.1093/comnet/cnx041)
Myung, J. and Pauls, S. D., Encoding seasonal information in a two-oscillator model of the multi-oscillator circadian clock, Eur. J. Neuroscience, 48 (2017), 2718-2727. (https://doi.org/10.1111/ejn.13697)
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