RevX Philadelphia

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

  The Modern AI Factory

  Nick Elprin CEO, Domino

  Domino CEO Nick Elprin 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

  AI’s Impact from Discovery to Delivery

  Daniel Kraft MD Physician-Scientist and Innovator, Founder, NextMed Health & Digital.Health

  Daniel Kraft, MD, explores how AI and the digitization of biomedicine are transforming healthcare and life sciences by enabling personalized, patient-centric care; accelerating R&D; tackling ethical challenges in AI; and guiding responsible use of AI and digital health for the future.
• 11:05 – 11:15a

  Domino Catalyst Awards
• 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

  Elizabeth Mekbib Sr. Data Science Consultant, EY

  Sanjay Jaiswal Partner/Principal, EY

  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

  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.
• 2:00 – 2:45p

  Tame AI Sprawl to Accelerate Innovation in Life Sciences

  James Yi Sr. Partner Solutions Architect / Generative AI Tech Lead, AWS Emerging Technologies ISV

  Richard Swakla AI/ML Specialist, NetApp

  Jarrod Vawdrey Field Chief Data Scientist, Domino

  As AI expands across life sciences, siloed tools, complex infrastructure, and compliance demands create costly sprawl. Experts from AWS, NetApp, and Domino will share how to align IT and data science to scale AI securely, efficiently, and with full traceability.

  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.
• 3:05 – 3:50p

  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.

  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.
• 4:00 – 4:30p

  Operationalizing AI in Drug Development: From Infrastructure to Impact

  Ian Misner Head of Products, Oncology Data Science, AstraZeneca

  Dave Johnson CEO & Co-Founder, Dash Bio

  Tim Hoctor Advisor, Pistoia Alliance

  AI is transforming drug development - but scaling impact requires more than models. In this panel, pharma leaders from J&J, AstraZeneca, Dash Bio share how modern platforms can enable self-serve analytics, faster collaboration, and reproducibility, driving real-world gains across oncology and R&D.
• 4:30 – 5:30p

  Networking Reception