Summer School "Stochastic modelling in the life sciences"
Dates: May 9-13, 2022
Venue: HIM lecture hall (Poppelsdorfer Allee 45, Bonn)
Organizers: Nadia Loy (Torino), Jaromir Sant (Warwick)
Speakers:
- Alison Etheridge (Oxford)
- Nina Gantert (Munich)
- Jere Koskela (Warwick)
- Kevin Painter (Politecnico Torino)
- Federico Sau (IST)
Description:
The application of mathematical modelling to the life science has allowed for a systematic analysis of various biological phenomena, which in turn has led to a greater understanding of several fundamental processes in biology, medicine, and evolution. This has also led to the development of new and powerful techniques within mathematics itself. A key issue is represented by the intrinsic role of stochasticity in biological phenomena.
This Summer School aims to bring together young mathematicians (PhD students, postdocs and junior faculty) interested in the application of mathematical techniques to the life sciences, particularly ones involving a stochastic component. The school will consist of three 5 hour courses focusing on coagulation and fragmentation for genealogical processes, spatial modelling, and diffusive limits for microscopic models, together with two shorter 3 hour mini-courses on statistical inference and duality.
The application to participate in the Summer School has been closed.
A poster session is being held during the summer school. The submission of poster abstracts has been closed.
You can find the schedule here
You can find the abstract here
Kevin Painter: Models for cellular and animal orientation: history, derivations, analyses and applications
Part 1
Part 2
Part 3
Part 4
Alison Etheridge: Spatial Population Models
Part 1
Part 2
Part 3
Part 4
Jere Koskela: Inference for coalescent and diffusion models in genetics
Part 1
Part 3