Big Mathematics for Big Data

Presented by ANU College of Science

As data and systems get more complicated, so must the tools with which we analyse them.

This lecture will describe how topology, the mathematical study of shapes and their deformations, has emerged as a powerful new technique for data analysis. 

Dr Vidit Nanda will also expand on the concept of persistent homology, which has become the premier technique in topological data analysis.

About the speaker

Dr Nanda develops algebraic-topological theories, algorithms and software for the analysis of non-linear data and complex systems arising in various scientific contexts. In particular, he employs discrete Morse-theoretic techniques to substantially compress cell complexes built around the input data without modifying core topological properties.

His recent work has involved excursions into computational geometry, cellular sheaf theory and higher-categorical localization.

This event is free and open to the public and will be followed by hors-d'oeuvres and light refreshments.