Accelerating study insights with Posit & Shiny

Missed the live event? You can now watch our on-demand webinar and discover how Regeneron and Atorus collaborated to create a unified, streamlined environment for clinical data review.

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In this session, we reveal how this innovative partnership:

• Building a Unified Analytical Environment: Learn how to reduce friction by integrating fragmented SAS and R workflows.
• Case Study: A Config-Driven App: See a live demo of how a simple configuration file can build a fully functional application for data review and safety monitoring.
• Operational Shifts: Understand how internal teams are empowered to independently manage and extend their own applications in a regulated environment.

This isn't just about technology. It’s about the strategic shift required to simplify development and accelerate insights within a regulated environment.

Watch now to gain a clear understanding of the technical foundation and operational strategies that made this transformation possible.

Speakers

Ryan Yu

Associate Director of Statistical Programming at Regeneron

Leads the Innovation & Modern Report team within the Statistical Programming group, part of the Biostatistics and Data Management department. A 16-year veteran in pharmaceutical statistical programming, Ryan uses AI and open-source tools to streamline clinical trial data analysis, aiming to speed up decision-making and support regulatory submissions.

Sriram Krishnamurthy

Director of Product Management, Global Development, IT, Regeneron

Sri Krishnamurthy is Director of Product Management at Regeneron, where he leads solutions delivery that turns data and technology investments into measurable business value for Global Development. He is leading a portfolio of transformation efforts: establishing an industry-leading Statistical Computing Environment (SCE), transforming Human Sample Management, digitalizing study protocols, advancing Digital Data Flow (DDF), and building a modern analytical platform, with AI applied responsibly across each. Together, these efforts aim to reduce clinical trial cycle time, improve data quality, and strengthen compliance (GxP), with the goal of getting medicines to patients faster.

Maya Gans

Data scientist

I am a mycologist turned data scientist. I love statistics, data visualization, and all things JavaScript. I am currently an intern at RStudio designing a visual block-based programming language. I create music-related infographics for JamBase.com. When I’m not coding, I’m climbing tall mountains.

Michael Stackhouse

Chief Innovation Officer at Atorus

Michael is the Chief Innovation Officer at Atorus Research. He has extensive CDISC experience, working with both Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) standards, and serving as a subject matter expert for Define.xml. He holds a bachelor’s degree from Arcadia University, where he studied business administration, economics, and statistics. He is a 2020 UC Berkeley School of Information Master of Information and Data Science (MIDS) program graduate, where he worked on projects involving computer vision, natural language processing, cluster computing, and deep learning. His special interests include automation, machine learning, big data technology, and mentoring rising programmers.