Ascona Workshop 2022
Biological systems: from first principles to data-driven modelling and back
Scope
The data revolution in biology of the last two decades, driven by progress in genomics, imaging and other high-throughput technologies, and by progress in computing, has led to breathtaking advances in our ability to understand biological systems through inductive means, viz. pattern recognition, machine learning, and statistical modelling. On the other hand, theoretical biology is an established field following a deductive approach, where inspired by the success of physics, the dynamics of biological systems are described by mathematical models. Arguably, theory has been outpaced by the rapid developments in big-data biology. This workshop aims to bring together scientists from both sides, and in particular those working on the interface between them, to fuel a renewed effort in closing the loop between induction and deduction which is so essential for scientific progress. Specifically, we will (i) explore recent advances and open problems in mathematical modeling of biological systems comprising both approaches based on first principles and on large high-dimensional data sets; (ii) identify opportunities and challenges for these two approaches to benefit from each other or even to converge; and (iii) facilitate meaningful interactions between engineering, biomedical, and quantitative researchers of both camps.
News
Pre-registration ends soon (November 30). Please not that pre-registration is non-binding but mandatory to participate in the workshop.
Dates
Workshop: 27 March 2022 - 1 April 2022.
Deadline for the pre-registration: November 30.
Location
Congressi Stefano Franscini, Monte Verità, Ascona, Switzerland
Growing list of keynote speakers
- Nir Friedman (University of Jerusalem)
- Richard Neher (University of Basel & SIB Swiss Institute of Bioinformatics)
- Jonas Peters (University of Copenhagen)
- Fernanda Pinheiro (Human Technopole)
- Aleksandra Walczak (ENS Paris)
- Andreas Deutsch (TU Dresden)
- Joachim Buhmann (ETH Zürich)
Pre-registration
Note that this application does not ensure participation. Abstracts will be selected by the organizers, and successful applicants will then be invited to register. Pre-registration is non-binding but mandatory to participate in the workshop.
Please click external page here to access the pre-registration form.
The deadline for pre-registration is November 30.
Registration fees (not due until final registration)
Academia 300 CHF
Industry 800 CHF
COVID-related Information
There is no mandatory requirement.
Contact
Organizing committee
Niko Beerenwinkel, Peter Bühlmann, Wolfgang Huber
Sponsors
