RevX Philadelphia
The enterprise AI event for data science and IT leaders
May 20, 2025
Convene Commerce SquareExperience the magic of RevX alongside AI industry leaders
About RevX
Explore the future of AI-driven drug development — from discovery through regulatory submissions — with informative sessions on how to improve compliance, collaboration, and efficiency with a modern SCE and flexible AI platform.
Data scientists and IT leaders should attend this one-day, free event for:

Thought leadership
Hear trends from industry visionaries at top-20 pharma companies.

Innovation
Discover AI and data science innovations that power R&D breakthroughs.

Best practice sharing
Learn strategies to take your AI initiatives from proof of concept to real impact.

Networking and connection
Connect with peers to exchange ideas and build valuable relationships.
Speakers
Get ready to be inspired by the voices that are shaping the future of enterprise AI. Stay tuned for exciting updates as we add inspiring customers and thought leaders to our event agenda!

James Black
Executive Director, Technology & Scientific Computing
Novartis

Shahram Ebadollahi
Principal, Nav.AI
Former CDAO, Novartis

Lin Li
Head of Clinical Statistics & Computational Biology
PharmaLex, a Cencora company

Ian Misner, Ph.D.
Head of Products, Oncology Data Science
AstraZeneca

Deepak Bandyopadhyay
Director, Data Science, R&D Quality
Johnson & Johnson

Ronen Artzi
Technology Innovation Lead, Oncology Data Science & AI
AstraZeneca

Thomas Robinson
Chief Operating Officer
Domino Data Lab

Chris McSpiritt
VP, Life Sciences Strategy
Domino Data Lab

Matt Tendler
Life Sciences Product Lead
Domino Data Lab
Agenda
- 8:00 – 9:00a
Check-in and Breakfast
- 9:00 – 9:30a
The Next Chapter: How AI Will Reshape R&D in 2025 and Beyond
Shahram Ebadollahi Principal, Nav.AI - Former CDAO, Novartis
Chris McSpiritt VP of Life Sciences Strategy, Domino
Explore the next chapter of AI in life sciences R&D with Shahram Ebadollahi, former Chief Data Science & AI Officer at Novartis and founder of Nav.AI. Hear about the organizational shifts required to harness AI trends, and what leading companies are doing to stay ahead in 2025, and beyond. - 9:30 – 10:00a
Innovating at Scale: Domino’s Vision for the Future of AI and Data Science
Thomas Robinson COO, Domino
Domino COO Thomas Robinson unveils the company’s vision and strategy to help enterprises scale AI and data science with greater speed, governance, and impact. Discover how Domino’s new platform capabilities and AI-native workflows will enhance collaboration and power the next era of innovation. - 10:20 – 11:05a
Principles to Practice: The Role of Policy in Advancing Data Science for Life Sciences R&D
A former FDA commissioner and leading voice in U.S. health policy explores the evolving role of agencies like the FDA and NIH in advancing FAIR data practices, enabling secure research infrastructure, and guiding the ethical application of AI in drug development and clinical innovation. - 11:25 – 12:10p
From Data to Drug Approval: Bioinformatics in Clinical Development
Lin Li Head of Clinical Statistics & Computational Biology PharmaLex, a Cencora company
Bioinformatics and computational biology have powered discovery, but their role in clinical development is evolving. Hear how teams use Domino to scale machine learning and real-word data workflows, accelerating insights and decisions that support drug approval for precision medicine.Reimagining Patient Recruitment: How AI and GenAI Are Transforming Clinical Trials
AI and genAI are streamlining patient recruitment by improving accuracy, reducing trial costs, and accelerating timelines. This company shares how they consolidate data sources, simplify eligibility workflows, and match the right patients to the right trials - faster and with fewer resources. - 12:10 – 1:05p
Networking Lunch
- 1:05 – 1:50p
Accelerating Biomarker Discovery with Multi-Agent AI
Ronen Artzi Technology Innovation Lead, Oncology Data Science & AI, AstraZeneca
AI-driven, multi-agent systems are transforming cancer biomarker discovery by enabling complex, end-to-end scientific workflows. AstraZeneca shares how they leverage these capabilities to scale insights enhance collaboration, and accelerate decision-making across oncology research.Unifying Data Science: A Single SCE for Innovation and Compliance
James Black Executive Director, Technology & Scientific Computing, Novartis
Novartis streamlines research and clinical operations by unifying its SCE. Learn how they leverage Domino to improve efficiency, ensure compliance, and balance agility with control, enabling seamless collaboration across data science teams. - 2:00 – 2:45p
Domino for Life Sciences: Product Roadmap
Matt Tendler Product Lead, Life Sciences, Domino
Get a first look at Domino’s product roadmap, including upcoming innovations in GenAI development, SCE governance, and automated compliance. Learn how Domino helps teams accelerate discovery, streamline clinical research, and scale data science - all within a GxP-compliant environment. - 2:55 – 3:40p
NLP Suite: A One-Stop Shop for Data-Driven Quality and Compliance
Deepak Bandyopadhyay Director, Data Science, R&D Quality, Johnson & Johnson
J&J's NLP Suite unifies diverse text analysis capabilities - including classification, entity harmonization, casual extraction, and trend analytics - into a single, scalable solution. Learn key technical considerations and impacts across clinical operations, pharmacovigilance, and other user groups.QC Tracking and Process Governance in the Modern SCE
Matt Tendler Life Sciences Product Lead, Domino
Explore challenges and practical solutions for implementing effective QC tracking, managing workflows across roles, and building audit-ready processes without sacrificing agility. Hear best practices to strengthen both compliance and confidence in your SCE. - 4:00 – 4:30p
AI in Drug Discovery: Scaling from Proof of Concept to Real-World Impact
AI has shown promise in early-stage drug discovery, but moving from proof of concept to real-world impact remains a challenge. In this panel, experts share how they’re deploying AI across oncology and R&D pipelines - navigating data complexity, infrastructure demands, and cross-functional adoption. - 4:30 – 5:30p
Networking Reception
Sponsors

