Agents for Correct, Transparent, and Reproducible Data Analysis
40 min
We are excited to share the schedule for the third R/Pharma genAI day, a free single day virtual event on June 16th, focused on examples of using generative and agentic artificial intelligence with an emphasis in the drug development space and clinical domain.
For talk abstracts and speaker bios, check out our conference page.
10:00 EDT
Sara Altman (Posit)
,
Simon Couch (Posit)
10:40 EDT
Break
20 min
11:00 EDT
Nikolas Burkoff (Johnson & Johnson)
Using LLMs to generate Teal applications: from proof of concept to production
20 min
11:20 EDT
Isabella Velásquez (Posit)
Skills 101
20 min
11:40 EDT
Eric Zhang (Eikon Therapeutics)
,
Ning Leng (Abbvie)
From R, Shiny, and Container to AI Skills: The R Consortium Submissions Working Group Call for Contributors
20 min
12:00 EDT
James Wade (Dow)
R/Pharma Hangout: shinymcp
60 min
13:00 EDT
Break
20 min
13:20 EDT
Peng Zhang (CIMS Global)
Hands Dirty First: Practical Notes from Before, During, and After Building Agentic Workflows
20 min
13:40 EDT
Indraneel Chakraborty (Independent Contributor)
'Ignore All Previous Instructions' and Other Things Your LLM Shouldn't Do in Pharma: Applying GenAI Security Guardrails in R
20 min
14:00 EDT
Husain Attarwala (Aera Therapeutics)
Accelerating Population PK/PD Modeling and Simulation with GenAI
20 min
14:20 EDT
Break
20 min
14:40 EDT
Weijie Zhang (Moderna)
,
Xing Chen (Moderna)
Agentic workflows for clinical data acceleration
20 min
15:00 EDT
Rita Pecuch (Takeda)
,
Varun Jagadeesh (Takeda)
Harnessing Generative AI to Improve Test Data Quality and Efficiency in Clinical Trial Set-Up
20 min
15:20 EDT
Matthew Kumar (Bayer)
Scheduled Clinical Insights: AI-Assisted Quarto Reporting for Oncology Studies
20 min
15:40 EDT
Michael Rimler (GSK)
,
Mike Stackhouse (Atorus)
Agentic AI Basics: How LLMs Work
20 min
16:00 EDT
Phil Bowsher (Posit)
,
Harvey Lieberman (Novartis)
Close-out and questions
10 min
Photo by Markus Winkler on Unsplash