About Daniel Koster
Daniel Koster is a VP of Product who developed a deep learning platform for plant trait phenotyping and created patented software for early detection of plant diseases.
Known information
Daniel Koster holds the position of Vice President of Product and has made significant contributions to the field of agricultural technology. He developed a deep learning platform specifically designed for phenotyping plant traits, enhancing the ability to analyze plant characteristics efficiently. Additionally, Koster created a patented software that aids in the early detection of disease symptoms in plants, which is crucial for preventing widespread agricultural issues. He has been recognized in the academic community with two of his articles featured on the cover of the esteemed journal Nature. Koster earned his PhD from Delft University of Technology and furthered his research as a postdoctoral fellow at the Weizmann Institute of Science. His work has garnered over 1,200 citations, underscoring his impact and influence in the scientific community.
About Code Ocean
Code Ocean is a cloud-based platform that offers computational science solutions for bioinformatics and computational biology, ensuring reproducibility, traceability, and HIPAA compliance.