January 31, 2023
12:00 pm – 1:00 pm EST
In the rapidly evolving field of computational science, researchers face the dual challenge of managing large datasets and extracting meaningful insights from them. The principles of FAIR (Findable, Accessible, Interoperable and Reusable) have become integral to data management, but what does it take for the analysis that is performed on that data to be FAIR and Reproducible (FAIRR Analytics)?
Join us for a webinar examining nuances and practicalities of FAIR Data and FAIRR Analytics, and practical explorations how experimental results can be not only reproducible but reusable as well.
- Exploring the concept of FAIR and Reproducible Analytics and its significance in extracting meaningful insights from biological data.
- Case studies highlighting successful integration of FAIRR Analytics principles in computational biology research.
- Addressing common challenges in implementing FAIRR Analytics and proposing practical solutions.
Daniel oversees Code Ocean’s product strategy, internal interfaces, and client-facing activities. Previous achievements include the development of a deep learning platform for plant trait phenotyping and patented software for early detection of disease symptoms in plants. Daniel’s academic contributions include publications in single-molecule biophysics of topoisomerases, bacterial predator-prey dynamics on microfabricated habitats, and deep learning-based fruit detection in commercially relevant scenarios. He has two articles published on the cover of the esteemed journal Nature and over 1,200 citations. Daniel holds a PhD from Delft University of Technology and was a postdoctoral fellow at the Weizmann Institute of Science. Daniel is passionate about scientific innovation and playback theater.
Alicia is a Product Manager at Code Ocean. She received her Ph.D. in molecular and cell biology, and conducted research in the area of epigenetics and genomic imprinting. Before joining Code Ocean, she supported biopharma and biotech customers with their NGS projects at Azenta Life Sciences.