Global Satellite Session: ICTP-SAIFR Brazil – Physics of Life: Across the Americas
ORAL · VIR-A06 · ID: 4158704
Presentations
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Where Physics Meets Behavior in Animal Groups
ORAL
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Publication: [1] Nguyen, C., & Peleg, O. (2025). Where Physics Meets Behavior in Animal Groups. PRX Life, 3(3), 037001.
[2] Peleg, O. (2024). A New Chapter in the Physics of Firefly Swarms. Nature Reviews Physics, 6(2), 72-74.Presenters
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Orit Peleg
- University of Colorado, Boulder
Authors
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Orit Peleg
- University of Colorado, Boulder
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Collective dynamics of self-propelled agents inspired by quorum-sensing bacteria and tissue cells
ORAL
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Publication: https://arxiv.org/abs/2508.11793;
https://arxiv.org/pdf/2512.02935Presenters
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Pablo de Castro
Authors
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Pablo de Castro
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Tunable matter as a unifying paradigm for biological function
ORAL
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Presenters
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Andrea Jo-Wei Liu
- University of Pennsylvania
Authors
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Andrea Jo-Wei Liu
- University of Pennsylvania
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Yue Shang
- University of Pennsylvania
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Adam Gabriel Frim
- University of Pennsylvania
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Sidney Robert Nagel
- University of Chicago
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Haina Wang
- Princeton University
- University of Pennsylvania
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Marco Galvani Cunha
- Radian Group, Inc.
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John C Crocker
- University of Pennsylvania
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Sadjad Arzash
- Georgia Institute of Technology
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M Lisa Manning
- Syracuse University
- Syracuse University, Bioinspired Institute
- Department of Physics and BioInspired Institute, Syracuse University
- Department of Physics, Syracuse University, Syracuse, NY 13244,BioInspired Institute, Syracuse University, Syracuse, NY 13244
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Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models
ORAL
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Publication: Barr KA, Reinitz J. A sequence level model of an intact locus predicts the location and function of nonadditive enhancers. PLoS One
2017;12:e0180861. https://doi.org/10.1371/journal.pone.0180861;
Sabino AU, Guerreiro D de M, Kim A-R, Ramos AF, Reinitz J. Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models. Bioinformatics. 2025 ; 41( 10): 01-11. http://dx.doi.org/10.1093/bioinformatics/btaf534
Ramos AF. Cells are entities specialized in machine learning.Presenters
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Alexandre Ferreira Ramos
Authors
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Alexandre Ferreira Ramos
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Alan U. Sabino
- Universidade de São Paulo
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Drielly M. Guerreiro
- Universidade de São Paulo
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Ah-Ram Kim
- School of Life Science, Handong Global University
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John Reinitz
- University of Chicago
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