The Data Enabled Revolution in Formulations Development - Nick Reynolds

Webinar Abstract

Title : The Data Enabled Revolution in Formulations Development

Date: Wednesday, 13th April 2016

Time: 15:00 BST ( British Summer Time )
(Check Local Time)

In the fast–paced, competitive product development environment innovation can be time consuming and improving efficiency whilst reducing costs is challenging. Additional barriers such as risk and compliance could also be limiting your formulation efficiency.

Register here now to join this LIVE webinar session with Principal Application Scientist expert, Nick Reynolds from BIOVIA as he discusses how modelling and simulation combined with informatics can speed up commercialization time for formulations, and ultimately deliver true multi-domain, multi-scale and multi-physics models that accurately create the digital twin of real world systems to radically transform technology innovation and efficiency.

In This Webinar You Will

Uncover how to optimize formulations to meet product specifications
Discover how modelling and simulation combined with informatics can speed up commercialization for formulations
Learn how true multi-domain, multi-scale and multi-physics models can improve your formulation efficiency
Understand how digital twins of real world systems can be used to radically transform your technology innovation

If you would like discover how to accelerate your formulation process using a safe, efficient cost reducing programme to drive your formulation evolution then this webinar is for you.

Register Here Now

Presented By

Nick Reynolds
Principal Applications Scientist
BIOVIA

Nick Reynolds is a Principle Application Scientist for BIOVIA. He is a member of the Pre-Sales Application Science Team, working with research organizations to help them streamline their research processes and increase their rate of innovation through the use of BIOVIA technology.

During his 23 years at BIOVIA, Nick has worked with research teams in the chemical formulation and development, chemical , engineering, and pharmaceutical development fields in applying predictive science methods, data modelling, and laboratory informatics approaches.

He received his Ph.D in Polymer Science and Engineering from the University of Massachusetts.

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