CMSA has been hosting a special program on nonlinear equations. Most physical phenomena, from the gravitating universe to fluid dynamics, are modeled on nonlinear differential equations. The subject also makes close connections with other branches of mathematics. In particular, some of the deepest results in complex geometry and topology were obtained through solutions of nonlinear… Continue reading →
Prof. Lucy Colwell spoke with us about her CMSA Big Data conference talk, “Using evolutionary sequence variation to make inferences about protein structure and function: Modeling with Random Matrix Theory,” and her research on big data.