On-Demand Webinar
Accelerating study insights with Posit & Shiny
• 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.
Watch now
Featured in this webinar
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.
Sri Krishnamurthy is a technology leader and life sciences domain expert, bringing a unique blend of management capability, end-to-end delivery expertise, consulting, architectural, and analytical skills. He specializes in clinical systems and commercial operations, with expertise in AI applications for pharmaceutical research.
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 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.
Phil is the Director of Healthcare and Life Sciences at Posit. His work focuses on innovation in the pharmaceutical industry, with an emphasis on interactive web applications, reproducible research and open-source education. He is interested in the use of R with applications in drug development and is a contributor to conferences promoting science through open data and software. He has experience at a number of technology and consulting corporations working in data science teams and delivering innovative data products. Phil has over 10 years’ experience implementing analytical programs, specializing in interactive web application initiatives and reporting needs for life science companies.
