Shah Nawaz
VP, Head of Digital Technology & Engineering
Regeneron Pharmaceuticals
Information technology leader experienced in digital innovation and transformation in life science, healthcare & enterprise technologies. My career spans 24+ years of software engineering, leading innovation in enterprise technologies and data analytics to meet evolving business needs.As a Digital, Technology Engineering head - I lead a team of Data & Analytics, Digital Health, Cloud Computing, Advance Scientific Computational, Machine Learning & Artificial Intelligence & Enterprise architecture. With a relentless focus on building a technology platform that empowers scientists to explore interconnected disease networks to derive novel insights and ultimately discover new and better patient treatments.
Shah Nawaz is speaking at the following session/s
Regeneron MetaBio Data Discovery Platform
Regeneron MetaBio Data Discovery Platform is a cloud-based machine learning scientific data discovery engine that provides access to curated and contextualized data. It automates the time-consuming process of preparing data for analysis by organizing, standardizing, and compiling data from available and authorized data producers. Having these datasets available in one place, in a unified format, allows researchers to quickly extract important information about various therapeutic functions without having to worry about how to prepare or find the data. MetaBio has broad, flexible application across the business.
Attendee Takeaway:
MetaBio vastly increases our ability to globally source and make sense of data on topics of interest, augmenting human intelligence with technology to go broader and deeper in our search for meaningful and relevant data. It allows for greater utilization of our greatest resource, time, through the process of finding and structuring data to enable potentially lifesaving insights and actions. Our researchers now have the ability to view and navigate all the association within and across a much richer set of data. IT is unique in the scope and scale of the dataset aggregated, and in its ability to be addressed as an integrated, federated, and unified data store.
Level:
All Levels
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