Programme: Mathematical models of gene regulatory networks, 18 March 2026

We are pleased to confirm the programme for the Mathematics in Life Sciences (MiLS) meeting on "Mathematical models of gene regulatory networks", which will take place on 18 March 2026 at the University of Nottingham (University Park Campus) in the School of Physics (number 22 on the campus map). Directions to the University Park Campus (including cycling facilities, bicycle routes, bus and tram lines) can be found here.

Attendance to the meeting is free of charge, but we kindly ask you to register your intention to attend by completing the registration form.

We look forward to welcoming you in Nottingham.


Schedule (click here for abstracts)


10:30 Joseph Shuttleworth (University of Nottingham)

A framework for modelling auxin signalling pathways in plants

10:50 Charlotte Taylor Barca (University of Manchester)

 A mathematical model of cell-state dynamics in melanoma

11:10 Charli Austin (University of Edinburgh)

 The Impact of Cell Division on Cellular Decision Making

11:30 Leah Band (University of Nottingham)

Combining parameter estimation and asymptotic analysis to identify parsimonious network models.


12:15 Lunch


13:00 Smitha Maretvadakethope (Imperial College London)

Let there be multifunctionality: Uncovering the criticality zoo of the AC-DC genetic circuit

13:45 Charlotte Manser (Kings College London)

 A mathematical framework for measuring and tuning tempo in developmental gene regulatory networks


14:30 Tea and Coffee


15:00 Kamil Drynda (University of Nottingham)

How Plants Cope with Stress: A Mathematical Model of SUMOylation Dynamics

15:20 Amruta Vasudevan (University of Liverpool)

Systematic analysis of gene regulatory network topologies provides insights into the robustness of symmetry breaking in mouse gastruloids

15:40 Matt Owen (University of Bristol)

 Hybrid multiscale modelling of gene regulatory networks in Julia

16:00 Juan David Marmolejo Lozano (University of Edinburgh)

Model Reduction and Frequency-Dependent Information Flow in Gene Regulatory Networks Cancelled due to illness


16:20 Close