Data-Driven Modeling and Analysis in Mathematical Biology
Thursday, June 17 at 09:30am (PDT)Thursday, June 17 at 05:30pm (BST)Friday, June 18 01:30am (KST)
Tomas Carino-Bazan (University of California, Santa Barbara, United States), Daniel Wilson (Boston University, United States)
Recent advances in data science and machine learning are providing novel ways to learn models and perform analysis of biological systems. This session brings together researchers to discuss recent developments in the field, advances in methodology and computational methods, and emerging application domains in the biological sciences. Topics include data-driven development of mechanistic and mechanical models in cell biology, analysis of genomic data with applications to disease progression and precision medicine, and statistical methods for investigating protein structure. The session aims to discuss both general topics concerning methodology as well as specific motivating application domains.