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Melanie Rauschenberg

Senior IP Counsel- Digital Patents, Sustainability, Policy and Standards
BASF

Melanie Rauschenberg

Senior IP Counsel- Digital Patents, Sustainability, Policy and Standards
BASF

Melanie Rauschenberg

Senior IP Counsel- Digital Patents, Sustainability, Policy and Standards
BASF
 

Alex Gloor

Partner
Gowling WLG

Alex Gloor

Partner
Gowling WLG

Alex Gloor

Partner
Gowling WLG

• Explore the evolution of AI from task-focused tools to foundation and agentic systems transforming drug discovery and development • Gain practical strategies for building scalable, compliant, and effective AI solutions that accelerate R&D outcomes

Author:

Zhiyong (Sean) Xie

Vice President & Head, AI & Data Science
Xellarbio

Zhiyong (Sean) Xie

Vice President & Head, AI & Data Science
Xellarbio

Key Takeaways: 

  • Learn how our technology applies predictive ML models to combinatorial synthesis libraries (CSLs) to screen ~500 M compounds per second per GPU, enabling exhaustive exploration of chemical space to identify compounds optimized for multiple design parameters
  • Learn how real-time, exhaustive enumeration of chemical space fosters a genuine creative process for chemical discovery by returning results of flexible and iterative queries within seconds, in the form of full chemical structures
  • Explore how this technology can be used with extrapolative ML models to increase chemical diversity of high-quality binders, and how this high-efficiency screening framework can be extended to other predictive models for rapid evaluation of hyper-scalable CSLs

Author:

Steve Worland

CEO
Numerion Labs

Steve Worland, Ph.D. serves as the CEO of Numerion Labs (formerly Atomwise) and has over 30 years of experience in corporate leadership and pharmaceutical R&D. He was previously President, CEO, and Board Member of eFFECTOR Therapeutics, which he co-founded in 2012. Prior to that, he was CEO of Anadys Pharmaceuticals, where he led the company through its acquisition by Roche in 2011. Before becoming CEO, he served as Chief Scientific Officer and President of Pharmaceuticals at Anadys.

 

Earlier in his career, he held senior positions at Agouron Pharmaceuticals, Warner-Lambert, and Pfizer, where his scientific research contributed to the discovery and development of Paxlovid (nirmatrelvir), Inlyta (axitinib), zotatifin, tomivosertib, and other clinical-stage candidates. At Agouron, he was Vice President and Director of Molecular Biology and Biochemistry, remaining at the company through its acquisitions.

 

Dr. Worland earned a Ph.D. in Chemistry from the University of California, Berkeley, and completed a postdoctoral fellowship in Molecular Biology at Harvard University as an NIH fellow. He earned a B.S. with Highest Honors in Biological Chemistry from the University of Michigan. He serves on the Board of Directors at Blacksmith Medicines and has previously served on the boards of Tracon Pharmaceuticals, Forge Therapeutics, and GenMark Diagnostics.

Steve Worland

CEO
Numerion Labs

Steve Worland, Ph.D. serves as the CEO of Numerion Labs (formerly Atomwise) and has over 30 years of experience in corporate leadership and pharmaceutical R&D. He was previously President, CEO, and Board Member of eFFECTOR Therapeutics, which he co-founded in 2012. Prior to that, he was CEO of Anadys Pharmaceuticals, where he led the company through its acquisition by Roche in 2011. Before becoming CEO, he served as Chief Scientific Officer and President of Pharmaceuticals at Anadys.

 

Earlier in his career, he held senior positions at Agouron Pharmaceuticals, Warner-Lambert, and Pfizer, where his scientific research contributed to the discovery and development of Paxlovid (nirmatrelvir), Inlyta (axitinib), zotatifin, tomivosertib, and other clinical-stage candidates. At Agouron, he was Vice President and Director of Molecular Biology and Biochemistry, remaining at the company through its acquisitions.

 

Dr. Worland earned a Ph.D. in Chemistry from the University of California, Berkeley, and completed a postdoctoral fellowship in Molecular Biology at Harvard University as an NIH fellow. He earned a B.S. with Highest Honors in Biological Chemistry from the University of Michigan. He serves on the Board of Directors at Blacksmith Medicines and has previously served on the boards of Tracon Pharmaceuticals, Forge Therapeutics, and GenMark Diagnostics.

This session will give an understanding of what it takes to realize the vision of fully integrated and autonomous drug discovery, both from an AI and data generation perspective.

Author:

Melissa Landon

Head, Commercial & Business Development, AI & Automation
MilliporeSigma

Melissa Landon

Head, Commercial & Business Development, AI & Automation
MilliporeSigma

AI’s potential in clinical research extends beyond scientific data to the operational information that underpins every trial. When harnessed effectively, this data reveals patterns in study design, site performance, and execution that can accelerate development and improve outcomes. This session explores how AI and operational insights can reshape the future of clinical research. 

Author:

Mike Eckrote

Senior Vice President of Strategic Solutions & Technology
Advarra

Mike Eckrote is Senior Vice President of Strategic Solutions & Technology at Advarra, where he leads efforts to advance innovative approaches to clinical research and development. He brings more than a decade of experience in real-world data, technology solutions, and clinical trial optimization, with leadership roles spanning HealthVerity, Medable, and Medidata Solutions. Throughout his career, Mike has specialized in applying AI/ML, real-world evidence, and data-driven strategies to improve trial design, site selection, and patient outcomes.

Mike Eckrote

Senior Vice President of Strategic Solutions & Technology
Advarra

Mike Eckrote is Senior Vice President of Strategic Solutions & Technology at Advarra, where he leads efforts to advance innovative approaches to clinical research and development. He brings more than a decade of experience in real-world data, technology solutions, and clinical trial optimization, with leadership roles spanning HealthVerity, Medable, and Medidata Solutions. Throughout his career, Mike has specialized in applying AI/ML, real-world evidence, and data-driven strategies to improve trial design, site selection, and patient outcomes.

The promise of AI in pharma is hindered by fragmented R&D data silos and the infrastructure gap between cloud-native research and on-premise manufacturing. This session presents an architectural blueprint for a unified, hybrid data platform designed to bridge these divides, creating a seamless R&D-to-manufacturing continuum.

We will explore how to first connect R&D data into a powerful knowledge graph. Next, we detail how to compute on this unified data by securely deploying NVIDIA's advanced AI models as microservices within a sovereign cloud environment. Finally, we demonstrate how a true hybrid architecture can bridge the cloud-native lab to the factory floor, unifying CMC and manufacturing data for end-to-end optimization.

Author:

Rameez Chatni

Global Director, AI Solutions, Pharmaceutical & Life Sciences
Cloudera

Rameez Chatni

Global Director, AI Solutions, Pharmaceutical & Life Sciences
Cloudera