Over the past few years, there has been a notable
convergence of AI methods in the fields of chemistry and biology. Techniques as
varied as active learning, reinforcement learning, informed machine learning, physics-informed
neural networks, reservoir computing, generative models, and large language
models have gained prominence in both domains.
The primary objective of the workshop will be to
facilitate knowledge exchange among communities that typically operate
independently fostering a collaborative environment to explore shared
experiences, differences, and challenges through the lens of AI techniques.
To cover some of the latest developments in both
chemistry and biology we have worked out the following preliminary program
08:30-09:00 Welcoming with breakfast
09:00-10:50 AI Methods and Models in Chemistry and
(bio)catalysis
o
Dr. Esther Heid (MIT, USA and TU Vienna, AT) - Machine learning and data curation for bioretrosynthesis (40 min)
o
Selected participant presentation
(15 min)
o
Prof. Wilhelm Huck (Radboud University,
NL) – Information
processing in chemical reaction networks (40 min)
o
Selected participant presentation
(15 min)
10:50-11:10 Coffee break and poster session
11:10-13:00 AI Methods and Models in (bio)catalysis
and Synthetic Biology
o Prof. Ljubisa
Miskovic (EPFL, CH) - Towards
High-Throughput Dynamic Studies of Metabolism: Generative Machine Learning Approaches (40 min)
o
Selected participant presentation
(15 min)
o
Selected participant presentation
(15 min)
o
Prof. Diego Oyarzún (U. Edinburgh, UK) Machine learning approaches to cell factory design and
optimization (40 min)
13:00-13:45 Lunch
and poster session
The workshop is
financially supported by the PEPR
B-BEST, part of the France 2030 initiative, which can provide limited
travel funds. The workshop is also supported (and will be followed) by the
annual symposium of the CNRS International Research Network in Synthetic
Biology (IRN SYNSYSBIO).
Breakfast and lunch will be provided.
Registration is free but necessary if you want to receive the online links and the abstract booklet.
