Rapid Expansion of Data-driven Chemical Development Through the Combination of Laboratory Automation, DoE and Modeling Techniques


  • Date
    September 25, 2018
  • Time
    8:00 a.m. PDT / 11:00 a.m. EDT / 16:00 BST / 17:00 CEST - Duration: 60 Minutes

Date : September 25, 2018
Time : 8:00 a.m. PDT / 11:00 a.m. EDT / 16:00 BST / 17:00 CEST - Duration: 60 Minutes
  • Overview

    The design, development and implementation of a robust, predictable, and scalable manufacturing process is the key outcome of chemical development. In chemical development, laboratory automation plays an important role—enabling the collection of large experimental arrays directed towards the discovery and optimization of process conditions that yield robust, predictable, and scalable manufacturing processes. To take a relevant example, rationally-designed and automatically-executed experiments can be used to accelerate the discovery of new reactions and build unprecedented understanding around chemical reaction dynamics. Augmenting these experimental tools are new computational techniques in data science and machine learning that enable scientists and engineers to extract insight and models that inform process development. In this webinar, our speakers from Amgen and Bristol-Myers Squibb will discuss approaches to efficiently generate, and effectively utilize, chemical reaction data through automation and data-driven modeling.
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    Unchained Labs

  • Speakers

    Victor Rosso,
    Principal Scientist,
    Bristol-Myers Squibb
    Jake Albrecht,
    Principal Scientist,
    Bristol-Myers Squibb
    Dan Griffin,
    Senior Engineer,
    Amgen
    Patricia Daukantas,
    Contributing Writer,
    C&EN Media Group