Keynote Sessions
Our keynote sessions set the tone for the entire congress, bringing together thought leaders from leading companies
to share their vision of what’s shaping the lab of the future. These high-level talks focus on company-wide
transformation, exploring how to adopt emerging technologies, address global scientific and operational challenges,
and embrace evolving innovation models.
Speakers:
- Hans Clevers, Head of Pharma Research and Early Development, Roche
- Christopher Arendt, Chief Scientific Officer, Head of Research, Takeda
- Amrik Mahal, Global Head of IT for Research, AstraZeneca
- Hans Bitter, Head of Computational Sciences, Takeda
- Sam Michael, VP, Data, Automation and Predictive Sciences, GSK
- Emanuele de Rinaldis, VP, Global Head of Target, Disease & Systems Biology
- Leah O’Brien, VP, Global Head Digital Lab and Plant Operations, Sanofi
- Justin Scheer, VP, In Silico Discovery, J&J Innovative Medicines
- Alex Zhavoronkov, Founder and CEO, Insilico Medicine
- Julie Huxley Jones, VP Research, Pre-clinical and Manufacturing, Data, Technology & Engineering
- Steven Winig, Executive Director, Novartis
AI to Innovate
“Enabling New Approaches to Drug Discovery”
This track explores how AI & LLMs are driving true innovation in R&D, unlocking new approaches to discovery,
from generative drug design to in silico experimentation. Sessions will highlight how AI is being used to uncover
novel targets, integrate complex biological data, and accelerate research through advanced modelling and adaptive
experimentation.
- AI driven target identification
- Synthetic dataset generation
- Predictive toxicology and ADME properties
- Hypothesis creation
- Closed-loop platforms and experimentation
Speakers:
- Hebe Middlemiss, Senior Director, AI Strategy and Innovation
- Ilan Wapinski, Head of Digital In Silico Research, Sanofi
- Abhishek Pandey, Global Lead and Principal Machine Learning Scientist, AbbVie
The Connected Lab
“Building a Digital Ecosystem for the Scientist”
In this track, organizations share their vision of the Connected Lab, where people, data, and technology work together
to enable more efficient and collaborative science. Sessions will explore various aspects of connectivity, ranging
from integrating legacy systems to building enterprise-wide digital environments. Speakers will share how to effectively
achieve connection through coordinated efforts across stakeholder engagement, lab and workplace management, and vendor collaboration.
- Systems integration and instrument connectivity
- Lab efficiency and workplace optimization
- Vendor and budget management
- Human in the loop
- Building cross-functional lab teams
Speakers:
- Jeff Van Doren, Global Analytical Instrument Lifecycle Management, Takeda
- Thibaut Lagny, Head of Portfolio Management and Operations – Genomic Medicines Unit Research, Sanofi
AI to Disrupt
“Transforming the Delivery of R&D”
This track explores how AI and ML are being used to optimise scientific and operational workflows across research,
development and manufacturing. Sessions will cover topics such as intelligent experiment design, batch scheduling,
and AI-driven decision support.
- Sample routing
- Parameter tuning
- Data labelling and analysis
- Agentic workflows and AI agents
Speakers:
- Michail Vlysidis, Principal Engineer, Technology II, AbbVie
Data Strategy
“Unifying data to drive better science”
This track explores how R&D organizations can build the data foundations needed to support innovation and the
application of emerging technologies. Sessions will address challenges in extracting meaning from growing volumes of
data, with a focus on creating unified data environments that connect systems and enable scalable, cross-functional use.
- Federated data and data accessibility
- Integrating multimodal data
- Data registration systems for cross modalities
- Unified and interoperable data environments
- Data architecture to keep pace with new technology
Speakers:
- Dan Gusenleitner, Director, Computational Biology, Bayer
Automated Lab
“Accelerating Drug Discovery and Development”
The lab automation track explores how automation in R&D is driving greater efficiency, reliability, and reproducibility —
freeing scientists from manual tasks so they can focus on innovation. Sessions will feature real-world case studies of
robotics, automated workflows, and smart data capture systems.
- Digital twins
- Self-driving labs
- CMC and manufacturing
- Automated data capture and analytics
- Collaborative robotics
- Workflow automation
Speakers:
- Peggy Weber, Director Laboratory Systems, Sarepta Therapeutics
- Erik Richter, Associate Director Laboratory Systems, Sarepta Therapeutics
- Sagar Kokal, Director Robotics Automation Cell Therapy, Takeda
The Lab of the Future Congress USA returns to Boston for March 2nd & 3rd 2026, at the Sheraton Hotel, and will welcome hundreds of life science research leaders and stakeholders in a networking environment that fosters easy collaboration and connections.
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