Clustering and Segregation in Intracellular Protein Interactions

Patterns and Simulations

Understanding Sensory Induced Hallucinations

Rachel Nicks explains how visual hallucinations can emerge as spatiotemporal dynamics of neuronal networks described by amplitude equations.

Dynamics-based Machine Learning for Nonlinearizable Phenomena

Haller and colleagues demonstrate how dynamics-based machine learning can be used to construct accurate and predictive reduced-order models from data.

Student Feature - Xie He

Xie He is a PhD student doing research in Network Analysis, Link Prediction, Machine Learning, NLP, Clustering, and Community Detection in the Department of Mathematics at Dartmouth College, advised by Peter Mucha.

Professional Feature - Ann Almgren

Ann Almgren is a Senior Scientist in the Center for Computational Sciences and Engineering at Lawrence Berkeley National Lab and the Department Head of Applied Mathematics in the Applied Mathematics and Computational Research Division.