Check out the MSI calendar of events and participate in seminars, public lectures, information sessions and more.

grad colloquium
2 May 2025 | 2 - 3pm

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.

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PHD Seminar Remy
9 May 2025 | 11am - 1pm

Join a current Quantitative Researcher for an overview of the quant trading industry and their work at Susquehanna.

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grad colloquium
9 May 2025 | 2 - 3pm

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.

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maths in the pub
13 May 2025 | 6:30 - 9:30pm
grad colloquium
16 May 2025 | 2 - 3pm

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.

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grad colloquium
23 May 2025 | 2 - 3pm

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.

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maths day
27 May 2025 | 9am - 4pm

Young maths enthusiasts from across the region are invited to battle it out in a test of mind and muscles at ANU Maths Day.

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microlocal
30 Jun 2025 | 9am - 11 Jul 2025 | 5pm

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.

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toptime
27 Oct 2025 | 9am - 31 Oct 2025 | 5pm

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.

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