Posters, Prizes, Plenaries, Community, and More at SIAM DS25

Posters, Prizes, Plenaries, Community, and More at SIAM DS25

The co-chairs of DS25, Alexandria Volkening and Ryan Goh, summarize the highlights of the recent dynamical systems conference in Denver, Colorado.
For More Realistic Evacuation Experiments, Add Physiological Stress

For More Realistic Evacuation Experiments, Add Physiological Stress

Sachit Butail and collaborators used information theory to analyze the effect of stress on the dynamics of pedestrian evacuations.
Computational Topology to Find Exoplanet Signatures in Astronomical Images

Computational Topology to Find Exoplanet Signatures in Astronomical Images

Elizabeth Bradley and collaborators use persistent homology to characterize circumstellar disks and find exoplanets in them.
Exploring the Dynamics of Viral Spread: Insights From DS25

Exploring the Dynamics of Viral Spread: Insights From DS25

Burcu Gürbüz gains insights on viral spread from bifurcation analysis of models incorporating indirect transmission via an environmental viral reservoir.
Collective Locust Swarms from Individual Interactions

Collective Locust Swarms from Individual Interactions

Jasper Weinburd and team perform large-scale simulations of data-driven models of locust swarms to infer what type of individual interactions within the swarm produce the collective alignment behavior observed in experiments.
Epigenetic Memory: Binary or Analog?

Epigenetic Memory: Binary or Analog?

Domitilla Del Vecchio uses a mathematical model of chromatin modifications to explore different possible regimes of epigenetic memory.
Digital Twins: Synergy Between Data Assimilation and Optimal Control

Digital Twins: Synergy Between Data Assimilation and Optimal Control

Sebastian Reich discusses the importance of integrating data assimilation and optimal control algorithms for real-world applications of digital twins.
News on Wasatch Student Chapters Conference 2025 by the USU

News on Wasatch Student Chapters Conference 2025 by the USU

SIAM student chapters gathered in Utah to share applied mathematics and computational science research.
Topological Data Analysis of Pattern Formation in 2D Multichannel Microscopy Images

Topological Data Analysis of Pattern Formation in 2D Multichannel Microscopy Images

Daniel Cruz presents a computational pipeline that utilizes topological data analysis (TDA) to generate quantitative, multiscale descriptors which capture the shape of data extracted from 2D multichannel microscopy images.
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