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Webinar

Managing ML models in bioinformatics

September 25th, 2024 | 12:00 pm – 1:00 pm EST

Register now

There’s a lot of buzz around machine learning in the life sciences, but let’s be honest—the reality doesn’t quite match the hype. 

Over 80% of computational biologists and bioinformaticians admitted they aren’t using ML at all. Surprising? Maybe not.

This gap between expectation and reality is a big issue. But we believe it’s one that can be fixed.

Join us for a webinar introducing Code Ocean 3.0: Models. This new suite of features lets your team develop, train, track and register machine learning models in a unified, traceable environment with complete model provenance.

We will discuss:
  • Why there’s such a huge gap between hype and adoption in ML
  • Your options to reduce this gap and increase adoption
  • The “missing link” in most ML workflows
  • An overview of our new ML features
  • A live demo from our VP of Product, Daniel Koster
  • Audience Q&A

Register now to secure your spot.

 

Register now

Speakers

Daniel Koster

VP of Product

Daniel Koster

VP of Product

Daniel Koster

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.