Following extensive research with the Lab of the Future Community, the European multi-track congress program includes case studies from exciting biopharma experts, insightful sessions on collaborative research partnerships, and discussions on how to address the challenges of onboarding novel technologies in research, development, and manufacturing
Keynote SessionsDriving Discovery Research in Biopharma: Breakthrough Science, Technologies, and Tools
Steve Rees, SVP, Discovery Sciences, R&D, AstraZeneca
Advancing Excellence in R&D: Portfolio Strategy, Governance, and Performance Insights
Béatrice Perron Executive Director, R&D Strategy Portfolio Execution and Excellence, Servier
Accelerating Biopharma R&D Innovation Through the Power of Collaboration
Stéphane Maikovsky, Deputy CEO, LifeArc
Designing the Once-Weekly and Oral GLP-1 Semaglutide
Jesper Lau, Scientific Vice President, External & Exploratory Innovation, Research & Early Development, Novo Nordisk
Beyond Boundaries: Transforming Pharma R&D with Agile Next-Gen Technology
Andy Bonner, VP, Quality Engineering & Labs for R&D Digital and Tech, GSK
Operationalizing Digital Strategy Through the Power of Behavioural Science
Adama Ibrahim, VP, R&ED Digital Transformation, Novo Nordisk
Advancing Drug Discovery: Unleashing the Power of AI, Machine Learning, and Data Innovation
Nicola Richmond, Chief Scientist, Recursion
From Data to Discovery: Shaping the Future of Translational Science Through Technology and Talent
David Michalovich , VP Translational Science, Respiratory and Immunology Research Unit, GSK
Embedding AI and GenAI: Shaping the Future of R&D Productivity
Roman Affentranger, Executive Director, Head of Product Management, Research Informatics, Novartis BioMedical Research
AI to Innovate
AI/ML are rapidly being integrated into drug discovery and development processes. This track will discuss how large language models, generative AI and AI-driven platforms are aiding target identification, optimization, patient stratification and beyond.
Enhancing the DMTA Cycle: Leveraging Machine Learning and Generative AI
Kristine Deibler, Head of Molecular AI, Novo Nordisk
Using Generative AI-Designed Small Molecule Inhibitors to Revolutionize IPF Treatment
Petrina Kamya, Global Head of AI Platforms VP,Insilico Medicine, Insilico Medcine
Data, AI, and the New Frontier: Scaling the Therapeutic Potential of Nature
Sona Chandra, President of AI, Pangea Bio
The Connected Lab
In an increasingly collaborative scientific environment, interoperability of systems and connectivity within and between organizations is more important than ever. This track discusses the data platforms and technologies which can allow data sharing, methods to ensure safe and secure data transfer and storage, standardization of data to allow sharing and reuse, and case studies of successful collaborations.
Laboratory Instrument Integration in Biopharma: Challenges, Opportunities, and the Path to a Connected Lab
Michael Morris, Scientific Data Environment Platform Solution Lead, Argenx
LIMS Implementation – Technology, Process and People
Amellalih Reza, Global QA Project Manager, Bayer
AZ Connected Lab Case Study
Michael Appleby, IT Project Manager, AstraZeneca
AI to Optimize
AI/ML are rapidly being integrated across the biopharma value chain to optimize processes and increase efficiency from discovery through to manufacturing. This track will discuss how natural language processing, text-mining, large language models and other computational techniques are being applied to free up scientists’ time and allow more time for innovation.
Enabling Lab-in-a-Loop: Implementing MLOps in Roche Pharma Research
Le (Muller) Mu, Product Line Manager End-to-End AI&ML – MLOps, Product Owner and Tech Lead, Roche
Lab Operational Excellence
Creation of a physical and virtual infrastructure that allows scientists to innovate across the value chain. The track will feature discussions on new developments in lab build and design, lab asset management, application of sustainable working practices in the lab, cross stakeholder research partnerships and use of digital technologies within the lab environment.
Digital Transformation
Digital transformation is revolutionising BioPharma R&D. This is session will focus on the key operational aspects of the transformation. This track will feature innovative platforms and technologies that will facilitate digital transformation, scientific use cases, developing agile methodologies, and taking a data first approach.
From Discovery to Delivery: Powering Biopharma’s Future with Digital Labs
Andreas Steinle, Digital Integration Lead, Roche
Bridging Data and Science: Driving Manufacturing Intelligence at Scale in Global Pharma
Joel Poissonnier, Digital Manufacturing DD & T Lead – Manufacturing Intelligence, Takeda
Centralizing digital strategy to optimize use of novel technologies
Julie Klint,Director, Head of Molecular Discovery & Enabling Technologies, Lundbeck
The GSK Digital Skills Capability Programme
Laura Williams, Research Digital Capability Lead, GSK
Integrating Technology and Bi-Directional Communication for Global E2E Workflows
Ana Medina, Product Owner, Roche
Digital automation & IoT to bridge our physical and virtual worlds
Claudio Battilocchio, Digital Automation & IoT Lead, Digital R&D, Syngenta
Data Strategy
Data strategy comprises of creating a data architecture and infrastructure that supports innovation. Discussions will also examine how to manage and gain insights from the growing volumes of data generated in a modern research lab
Data Strategy to Delivery
Felipe Albrecht, Prinicipal Scientist at Discovery Informatics, Roche
Setting Up the Rosalind Franklin Institute: Data Management Successes and Challenges
Mark Basham, Director of Science Artificial Intelligence and Informatics, Laura Shemilt, Head of Research Software Engineering, The Rosalind Franklin Institute
IDMP Ontology Project
Sheila Elz, Master Data Management, Bayer
Bridging Data Silos in Oncology: The S:CORT Dataset and Collaborative Innovation
Joe Day, Senior Data & AI Executive, Cancer Research Horizons
How Digital, Done Right, Can Foster a Data Culture, while establish a data foundation for the future – a laboratory-centric approach to get tangible research data
Kåre Buch Petersen, Principal Scientific Product Manager, Novo Nordisk
Automated Lab
Automation of instruments and workflows to improve efficiency and accuracy, is becoming widespread throughout the industry. This track will discuss automating laboratory workflows through discovery and development, the application of robots, cobots and mobile technologies and the impact of automation on QA and QC processes. The power of digital twins and AR/VR in both R&D and manufacturing for process optimization will also be highlighted.
Transforming R&D at CSL: Building a Connected, Empowered, and Automated Digital Ecosystem
Dominik Schneider, Senior Manager, R&D Enabling Technology, CSL Behring
Smarter Labs, Faster Discoveries: Leveraging Automation and Robotics in BioPharma R&D
Anne Debusscher, IT Director – Experimental Execution, Johnson & Johnson Innovative Medicine
AstraZeneca’s Automation Hub – Achievements and Future Plans
Bethan Howells, Senior Automation Scientist, AstraZeneca
Integrating Low-Cost Liquid Handlers and Assays to Support the Scientist
Jamie Clifton, Principal Scientist Matrix Leader Lab Automation, Roche
AI in Pharma Manufacturing: Real-World Use Cases Transforming the Industry
Maria sedykh, AI & Automation Solutions Lead, Lonza
Advancing Automated Global Analytical Chemistry
Elisabeth Dietze, Associate Principal Informatician, AstraZeneca