07-12, 14:00–15:00 (Europe/Amsterdam), Struct (1.4)
The Scientific Machine Learning (SciML) ecosystem is rapidly gaining momentum within the field of systems biology. Following up on last year, with this birds of feather discussion we want to bring the international community of systems biology tool developers and users at one table to (a) brainstorm promising routes for future developments, and (b) facilitate collaborative projects.
Purpose: The Scientific Machine Learning (SciML) ecosystem in Julia holds great potential for applications in the field of systems biology. Much of this can be attributed to state-of-the-art ODE solvers and parameter estimation packages, and convenient interface with automatic differentiation packages, neural differential equations and systems biology standards/formats. While an increasing number of systems biology groups are starting to use Julia to address biological questions, many existing systems biology tools are not yet available in an easy-to-use manner in Julia.
In this Birds of Feather discussion we want to address the following questions:
1. What are the community needs, plans and visions?
2. Which existing systems biology tools hold great potential for faster implementations if ported to Julia?
3. Which new tools are enabled by the features of the SciML ecosystem?
4. Where can we find synergies and common interests for joining efforts on systems biology tool development?
5. (How) can we improve on the existing communication channels to facilitate coordinated and collaborative tool development?
Significance: Bringing researchers in the field of open-source systems biology tool development at one table to discuss the above questions will facilitate a flourishing ecosystem of systems biology tools and pipelines in Julia, and increase the uptake of the language by the community as a consequence.
Agenda: the following points will be on the agenda.
- ~5 min: Introduction by Paul Lang or Sebastian Persson
- ~10 min: Participants briefly addresses question (1) from above from their perspective
- ~30 min: Participants are split up into 2-5 groups to discuss questions (2)-(5) from above.
- ~10 min: One member of each group summarizes the main points from the group discussion for the other groups.
- ~5 min: Closing remarks by Paul Lang and Sebastian Persson
- (Optional if time is left: Talking to people from other discussion groups and unguided networking.)
Systems biologist at DeepOrigin (https://www.deeporigin.com/) focussing on parameter estimation problems. Special interest in collaborative & scalable modeling.
