GSA Spark

GSA SPARK 2025 is starting next week!

This is a 21-day challenge from 24th November until 14th December, packed with exciting puzzles and problems inspired by the classic advent calendar. Each day, you’ll tackle new challenges designed to test your maths, coding, and problem solving skills. 

This challenge is for: 

PhD Opportunity at Cardiff University

The School of Mathematics at Cardiff University are advertising a PhD on Monoidal Categories in Mathematical Physics. The project will study monoidal categories (also called tensor categories) and how they can appear as symmetry structures in quantum physics.

Open Research Experiences for Graduates and Undergraduates

The Open Research Experiences for Graduates and Undergraduates (OREGU) program at BAUM TenPers Research Institute is designed for students interested in pursuing a PhD or Master’s in Economics, Finance, Applied Mathematics, Statistics, Financial Engineering, or Financial Mathematics. This tailored remote program offers 1) formal research training and 2) exposure to graduate-level coursework under the guidance of experienced instructors.

Week 6 Student Bulletin

Maths

 

It's the Week 6 Student Bulletin! 

Only two more weeks of Michaelmas term, last push on deadlines before a (hopefully) relaxing break. 

Fri, 06 Mar 2026

11:00 - 12:00
L4

Identifiability of stochastic and spatial models in mathematical biology

Dr Alexander Browning
(Dept of Mathematics University of Melbourne)
Abstract
Effective application of mathematical models to interpret biological data and make accurate predictions often requires that model parameters are identifiable. Requisite to identifiability from a finite amount of noisy data is that model parameters are first structurally identifiable: a mathematical question that establishes whether multiple parameter values may give rise to indistinguishable model outputs. Approaches to assess structural identifiability of deterministic ordinary differential equation models are well-established, however tools for the assessment of the increasingly relevant stochastic and spatial models remain in their infancy. 
 
I provide in this talk an introduction to structural identifiability, before presenting new frameworks for the assessment of stochastic and partial differential equations. Importantly, I discuss the relevance of our methodology to model selection, and more the practical and aptly named practical identifiability of parameters in the context of experimental data. Finally, I conclude with a brief discussion of future research directions and remaining open questions.
Fri, 27 Feb 2026

11:00 - 12:00
L4

To be announced

Dr Robert Van Gorder
(Department of Mathematics and Statistics University of Otago)
Subscribe to