Events
Check out the MSI calendar of events and participate in seminars, public lectures, information sessions and more.
Join a current Quantitative Researcher for an overview of the quant trading industry and their work at Susquehanna.
Interested in meeting your fellow graduate students and learning about their research? We are restarting for 2025 the informal colloquium for graduate HDR students to share interesting topics they’ve come across during their studies.
In honour of Women of Mathematics day, MSI is hosting a series of talks on the contributions of women in Mathematics.
Interested in meeting your fellow graduate students and learning about their research? We are restarting for 2025 the informal colloquium for graduate HDR students to share interesting topics they’ve come across during their studies.
Interested in meeting your fellow graduate students and learning about their research? We are restarting for 2025 the informal colloquium for graduate HDR students to share interesting topics they’ve come across during their studies.
Young maths enthusiasts from across the region are invited to battle it out in a test of mind and muscles at ANU Maths Day.
An Australian Mathematical Winter workshop run by ARC Laureate Professor Andrew Hassell at the Mathematical Sciences Institute, Australian National University. This is a two-week intensive winter workshop, led by Andrew Hassell with two other distinguished researchers from Australia and the USA.
Topological Data Analysis (TDA) is a research area at the intersection of Algebra, Topology, Geometry, Statistics and Machine Learning. While methods from TDA have been applied successfully to data from a variety of domains — from financial mathematics, to materials science, climate science, biomedical imaging, or social science —, there has been less work done on studying in a principled way how such methods can be applied to data that changes dynamically over time. The goal of this workshop is to bring together experts in TDA with experts in application domains in which time-varying data is particularly prevalent. Examples include time series in climate modelling and financial mathematics, as well as dynamic networks in epidemiology and social science modelling.