Conference Focus
Gain a candid, 360-degree view of how data science and AI are changing pharmaceutical development, where the biggest wins are happening, where barriers remain, and where the industry is headed next.
PharmaDS 2027
Pharmaceutical Data Science Conference 2027
Mapping the Future of Pharma: AI-Enabled and Data-Driven Insights, Innovation, and Impact.
Who Is It For?
PharmaDS brings together data scientists, statisticians, clinical development leaders, regulators, academics, students, and technology builders working across the pharmaceutical R&D ecosystem.
What To Expect
The program emphasizes real-world learning, practical applications, hands-on short courses, and industry-led discussions on emerging AI and data science trends in drug development.
Our Topics
Sessions cover modern statistical design, real-world evidence analytics, machine learning, generative AI, automation, safety signal detection, trial optimization, and related methods.
Large Language Models
Generative AI
Digital Twins
Synthetic Data
Reinforcement Learning
Federated Learning
Multimodal Learning
Causal Deep Learning
Explainable AI
AutoML
AI-Driven Pharmacovigilance
Clinical Trial Optimization
Featured Speakers
Initial speaker information is populated from the PharmaDS 2026 program while the 2027 program is being prepared.
Dr. Andrew Garrett
Executive Vice President, Scientific Operations at ICON
Dr. Junshui Ma
Associate VP and Head of Biometrics Research Department, Merck Research Laboratories
Dr. Viswanath Devanarayan
Data Science and Advanced Analytics leader, BMS
Dr. Tao Zhang
Senior Director of AI and Machine Learning, BeOne Medicines
Dr. Shuangge Ma
President, New England Statistical Society
Dr. Hongtu Zhu
Kenan Distinguished Professor, UNC Chapel Hill
Dr. Qiao Liu
Assistant Professor, Yale University
Andrew Semmes
Associate Director, Pharmacovigilance AI and PV Transformation, Moderna
Example Program
The 2027 schedule will be updated as sessions are confirmed. The structure below uses the 2026 conference information as placeholder content.
March 23, 2026
Short Courses
- Information Extraction and Document Preparation in Clinical Trial Development using RAG-based LLMs
- Trust by Design: Applied AI Governance for Pharma with Hands-On Application Exercises
- Python for Clinical Development with AI Applications
- CGM-AI: Causal Generalist Medical AI
March 24, 2026
Main Conference Day 1
- Opening remarks and keynote sessions
- AI in Pharma: Regulatory Perspectives and Safety Applications
- Advanced Methods for Outcomes Prediction and Patient Stratification
- Operationalizing AI in Clinical Development: Execution, Automation and Planning
March 25, 2026
Main Conference Day 2
- Transforming R&D Infrastructure with GenAI
- Digital Twins and Synthetic Evidence Generation
- Optimizing Statistical Workflows: Trial Design, Planning and Reporting Automation
- Poster awards and closing remarks
Key Dates
| Conference registration opens | November 15, 2025 |
| Early registration closes | February 14, 2026 |
| In-person registration closes | March 13, 2026 |
| Virtual registration closes | March 24, 2026 |
| Hotel discount reservation closes | January 31, 2026 |
Questions about PharmaDS 2027?
Contact the organizing team or explore the current conference information pages.