Computomics is Part of the Panel Discussion about the Role of AI in Plant Science!

The EI Innovate 2021: Linking Datasets and Bioscience is an annual event which aims to explore opportunities for collaboration between the Earlham Institute and external organizations. Having worked with agri-food, biotech and med-tech sectors, EI has a wealth of experience in collaborating with others on developing potential solutions to industrial and societal challenges.

The theme of EI Innovate 2021 is “Linking datasets and Bioscience” and it will explore how data-driven approaches can unlock new biological understanding and development of new technologies and applications across 3 different areas:

• Session 1: Natural products & biomanufacturing – exploring how synthetic biology and data-driven approaches can facilitate the discovery of new bioactive compounds and develop biomanufacturing platforms based on plants.
• Session 2: AI in plant science – exploring how AI and ML tools and techniques can help with the understanding of many biological functions in plants that underline important economic traits such as resistance to pathogens, nutrient utilisation, and structural development.
• Session 3: Omics approaches to study the human gut microbiome – exploring how bioinformatics, systems biology and machine learning approaches can be used for advanced microbiome analysis and to facilitate personalised microbiome treatments, identification of novel biomarkers and pathogens, and antimicrobial resistant features of our microbiota.

Dr. Sebastian J Schultheiss, Managing Director of Computomics will be part of the panel discussion in session 2: AI in plant science scheduled for 17 November 2021 at 15:15-16:00.

The Q&A Panellists are:

Sara-Jane Dunn, DeepMind (Chair)
Laura-Jayne Gardiner, IBM Research
Coretta Kloeppel, Elsoms Seeds
Sebastian J Schultheiss, Computomics
Anthony Hall, Earlham Institute
Sebastian Ahnert, Alan Turing Institute
Richard J Morris, John Innes Centre

All details including the full program and registration can be found here.

In case you have questions about our machine learning technology please reach out to us.