Synchronization of Oscillations in Pancreatic Islets

Researchers examine the effects of a time delay in the negative feedback between the pancreas and liver.

Green Security Games Along Trails

Protected natural areas must optimally allocate the limited availability of rangers across extensive tracts of land.

Understanding the relationship between seasonality and infectious diseases like cholera is an ongoing challenge.

Dynamical systems models seldom need to learn merely from data because useful a priori system knowledge is often available.

Imaging supermassive black holes requires that researchers reconstruct measurements from synchronized telescopes.

A mathematical model simulates plant dynamics in different-sized habitats to understand the effects of stressors.

Bacterial coinfections have contributed to much of the mortality in influenza pandemics and are typically difficult to treat.

Jake Stroh introduced a data assimilation framework that models a wide variety of lung-ventilator system behaviors at MDS22.

At MDS22, Femke Vossepoel utilized data assimilation techniques with an ensemble Kalman filter to improve earthquake forecasting methods.

At MDS22, Sarah Fay discussed a recent partnership with Adidas to optimize 3D-printed shoe midsoles for peak running performance.

At MDS22, Manju Johny used data to better understand post-wildfire vegetation levels in the Mendocino National Forest.

Control theory and machine learning comprise neighboring valleys in the complex landscape of the mathematics universe.

Tuberculosis is unique compared to many other diseases, leading to major challenges in its characterization.

The back-and-forth conversation between cell biology and active matter physics has been fruitful and intense.

Motion in the microscopic world involves an entirely different set of forces than those that govern macroscopic environments.