AI Methods and Models for (Bio)Catalysis and Synthetic Biology Workshop
June 5, 2024, Amphitheater Charles Flahault, Jardin des Plantes, 163 Rue Auguste Broussonnet, 34000 Montpellier, France - Registration

This event is now closed, online videos are available at : https://jfaulon.com/ai-workshop/
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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 program

08:30-09:00Welcoming with breakfast

09:00-10:50AI Methods and Models in Chemistry and (Bio)Catalysis

- 09:00-09:40 – Invited keynote – Esther Heid (MIT, USA and TU Vienna, AT) Machine Learning and Data Curation for Bioretrosynthesis

- 09:40-09:55 – Short talk – Delphine Dessaux (TBI, FR) Design of Symmetrical Multi-Component Proteins using Artificial Intelligence

- 09:55-10:35 – Invited keynote – Wilhelm Huck (Radboud U., NL) Information Processing in Chemical Reaction Networks

- 10:35-10:50 – Short talk – Mehdi D. Davari (IPB, DE) Empowering Data-Driven Protein Engineering with Machine Learning

10:50-11:10Coffee break and poster session

11:10-13:00AI Methods and Models in (Bio)Catalysis and Synthetic Biology

- 11:10-11:50 – Invited keynote – Ljubisa Miskovic (EPFL, CH) Towards High-Throughput Dynamic Studies of Metabolism: Generative Machine Learning Approaches

- 11:50-12:05 – Short talk – Amir Pandi (INSERM, FR) A Multispecies Codon Optimizer Using Transformers

- 12:05-12:20 – Short talk – Soutrick Das (UCL, UK) Designing Neural Network Computation across Engineered Bacterial Communities

- 12:20-13:00 – Invited keynote – Diego Oyarzún (U. Edinburgh, UK) Machine Learning Approaches to Cell Factory Design and Optimization

13:00-13:45Lunch 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.

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Calls for Oral/Poster presentation.
Any topic related to the applications of AI in biocatalysis and synthetic biology is appropriate. Contributions from young researchers or PhD students are welcome.
At this stage we are collecting the number of participants and will later ask for a title/abstract.
To submit an abstract please go to :  https://forms.gle/qggfyHw9mMACrm6S9
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