Global Satellite Session: ICTP-SAIFR Brazil – Physics of Life: Across the Americas
ORAL · VIR-A06 · ID: VIR-A06
Attendees are invited to watch this satellite session live on the virtual platform, or by visiting the watch room in the Colorado Convention Center, Room 204.
Presentations
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Where Physics Meets Behavior in Animal Groups
Oral-In-person
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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-Virtual
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Publication: https://arxiv.org/abs/2508.11793;
https://arxiv.org/pdf/2512.02935Presenters
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Pablo de Castro
- University of São Paulo
Authors
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Pablo de Castro
- University of São Paulo
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Tunable matter as a unifying paradigm for biological function
Oral-In-person
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Presenters
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Andrea Liu
- University of Pennsylvania
Authors
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Andrea Liu
- University of Pennsylvania
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Yue Shang
- University of Pennsylvania
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Adam Frim
- University of Pennsylvania
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Sidney Nagel
- University of Chicago
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Haina Wang
- Princeton University
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Marco Galvani Cunha
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John Crocker
- University of Pennsylvania
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Sadjad Arzash
- Georgia Institute of Technology
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M Lisa Manning
- Syracuse University
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Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models
Oral-Virtual
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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
- Universidade de São Paulo
Authors
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Alexandre Ferreira Ramos
- Universidade de São Paulo
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Alan U. Sabino
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Drielly M. Guerreiro
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Ah-Ram Kim
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John Reinitz
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