xSeedScore predicts phenotypes, integrating diverse data at unprecedented accuracy
During this webinar, you will:
• Gain a better understanding of why machine learning outperforms standard statistical methods
• Learn how machine learning accelerates your breeding program
• Exploit the opportunities for the different breeding programs• Discover which additional data can be included into the algorithm
• Learn about data requirements for a successful outcome
Our Webinar Speakers:
Dr. Sebastian Schultheiss
DDr. Sebastian J. Schultheiss, Managing Director of Computomics, founded Computomics together with a very experienced board of scientific advisors from ETH Zurich, Max Planck Institute for Developmental Biology and the University of Tübingen. Sebastian studied Bioinformatics at University of Michigan and Tübingen. He worked on Machine Learning research and its application to biological data for his PhD degree at the Max Planck Institute for Developental Biology and FML. He brings startup experience, boinformatics skills and machine learning expertise to Computomics, which brings superior prediction accuracy and unprecedented integration of phenotyping, genotyping, management and environmental data to agriculture, enabling its clients to produce stable, value-added crops.
Dr. Jörg Hagmann
Dr. Jörg Hagmann is Bioinformatics Scientist at Computomics. He studied Bioinformatics at University of Tübingen and McGill, Montréal, and graduated with researching the evolution of epigenetic marks in plants at the Max Planck Institute for Developmental Biology, Tübingen. His broad experience in genomic data analysis using machine learning techniques together with his training in plant biology fuelled him to advance the technology on accurate phenotype prediction and accelerate plant breeding for a changing climate.
Webinar brought to you by Computomics
Should you wish to download the presentation, please visit:
https://computomics.com/webinar.html
