Agenda
Filters
Automated Lab
AI to Innovate
AI to Optimize
Digital Transformation
Keynote Sessions
Connected Lab
Lab Operations
Data Strategy
08:30 (CEST)
Introduction & Opening Remarks
08:40 (CEST)
Keynote Sessions
Keynote Sessions
08:40 (CEST)
A Golden Age of Technology Advancement in Biopharma: Challenges and Opportunities
Anthony Rowe, VP, Head of Technology - Research Systems, Johnson and Johnson Innovative Medicine
08:55 (CEST)
The R&D Digital Board at Lundbeck – Centralizing Digital Strategy to Optimize use of Novel Technologies
Julie Klint, Director, Head of Molecular Discovery & Enabling Technologies, Lundbeck
09:10 (CEST)
Re-imagining the Research Laboratory Workplace of the Future for Generation AI
Mark Fish, Managing Director and Global Lab Informatics Lead, Accenture
09:25 (CEST)
Panel Discussion and Q&A
Mark Fish, Managing Director and Global Lab Informatics Lead, Accenture
Julie Klint, Director, Head of Molecular Discovery & Enabling Technologies, Lundbeck
Anthony Rowe, VP, Head of Technology - Research Systems, Johnson and Johnson Innovative Medicine
09:45 (CEST)
The Application of AI in Drug Development
Magnus Nyden, Director, Head of Innovation, AstraZeneca
10:00 (CEST)
Innovating the future of Biopharma R&D – How do we evolve together?
Richard Milne, Vice President & General Manager, Digital Science Solutions, Thermo Fisher Scientific
10:15 (CEST)
Panel Discussion and Q&A
Richard Milne, Vice President & General Manager, Digital Science Solutions, Thermo Fisher Scientific
Magnus Nyden, Director, Head of Innovation, AstraZeneca
10:35 (CEST)
Coffee & Networking Break in the Exhibition Area
Keynote Sessions
11:20 (CEST)
Delivering Digital Solutions for Clinical Research
Cristina Ortega Duran, President, Evinova
Keynote Sessions
11:20 (CEST)
Supporting Innovation in the Lab Through the AstraZeneca BioVenture Hub
Pernilla Isberg, Director BioVentureHub, AstraZeneca
12:10 (CEST)
The Roche Innovation Centre – Creating a Hub of Scientific Innovation and Collaboration Where Cutting Edge Research is Done
Katrin Arnold, Site Head, Pharma R&D, Roche
12:10 (CEST)
The Servier R&D Data Roadmap – Leveraging Data and Analytics as a Catalyst for Therapeutic Progress
Keynote Sessions
Sophie Ollivier, Chief Data Officer R&D, Servier
  • Our R&D Data Strategy to support scientists
  • Implementation of a decentralized Data Governance organization to support R&D Data & AI use cases
    • Why: in order to harvest the power of data and accelerate R&D lifecycle, we had to facilitate access to R&D data; but that implies some rules
    • How: the rules were at first designed centrally, and then supported by “Data owners”, managed as a community
    • What: in this talk we’ll present their responsibilities and concrete actions today supporting several AI use cases, focusing on data access and exposition
13:00 (CEST)
Lunch and Networking Break in the Exhibition Area
14:05 (CEST)
Track Sessions
Automated Lab
14:20 (CEST)
Scaling with Automation – the Lab of the Future at Moderna
Christopher Tunkey, Associate Director, Next Generation Analytics, Moderna
AI to Innovate
14:05 (CEST)
Uniting AI with Cutting-Edge Science to Decipher Complex Disease Biology and Discover Novel Disease Targets
Nicola Richmond, VP of AI, BenevolentAI
14:20 (CEST)
Harnessing an AI Platform for Identification of Novel Natural Small Molecule Therapeutics
Sona Chandra, President of AI, Pangea Bio
Digital Transformation
14:05 (CEST)
Implementation and deployment of digital and robotic solutions within regulated manufacturing environments
Domenico Palumberi, Digital Operations Leader, GSK
14:20 (CEST)
Digital Transformation at MMIC- Creating Real Time Data Flow from Lab Equipment to Manufacturing
Dave Berry, Head of Digital Business systems - Pharma, CPI (Medicines Manufacturing Innovation Centre)
15:05 (CEST)
Track Sessions
Automated Lab
15:05 (CEST)
Advanced Automation and Robotic Tools – Applications in the Lab
John den Engelsman, Executive Director, Process Analytical Sciences, Novartis
15:20 (CEST)
Standardizing the Integration of Lab Robots – The LAPP framework
Adam Wolf, Staff Engineer CMC (Manager), Takeda
AI to Innovate
15:05 (CEST)
Harnessing AI to Achieve Innovation Within Precision Medicine
Jürgen Scheuenpflug, Head of Strategic Innovation, Merck
15:20 (CEST)
Application of LLMs and NLP in the Clinic
Neel Das, LLM Squad Lead, Roche
15:35 (CEST)
Protein Language Model (ProtLM): In-silico approach To Accelerate Vaccine Target Identification
Anjana Dharamshi Singh, Senior Manager Life Science, Cognizant
Digital Transformation
15:05 (CEST)
The Digital Ecosystem at CSL Behring
Dominik Schneider, Senior Manager, R&D Enabling Technology, CSL Behring
15:20 (CEST)
Data Management and Automation Strategies at CSL Behring
Lukasz Gricman, Senior Manager, R&D Enabling Technologies, CSL Behring
16:35 (CEST)
Track Sessions
Digital Transformation
16:50 (CEST)
Breaking Down Barriers Between Scientists and Tech to Drive Innovation
Thomas Neefs, Principal scientist Lab data & digitalization, Johnson and Johnson Innovative Medicine
17:05 (CEST)
The Digital Shift: Reshaping the Scientist’s Approach to Work
Kristina Mathis, Investigator, GSK
17:05 (CEST)
The Lab AI Revolution: Unleashing the Power of AI and Data to Accelerate Research and Discovery
Rob Brown, Global VP of Product, Sapio Sciences
Connected Lab
16:35 (CEST)
Data: The Ultimate Asset – Where User Experience meets Data Experience to Redefine Laboratory Data Capture
Penny Smee, Director Product Owner, GSK
16:50 (CEST)
Connected Labs – Digital Transformation of CMC Labs
Nandini Kumar, Research & Labs Practice Leader, Cognizant
Dennis Zolk, Digital R&D Product Owner, Sanofi
Guillaume Lardier, Digital R&D Product Leader, Sanofi
17:10 (CEST)
Panel Discussion and Q&A
Data Strategy
16:35 (CEST)
Computational and Data Driven Strategies for Driving Innovation Within R&D
Emmanouil (Manolis) Dermitzakis, VP and Head of Computational Biology, GSK
16:50 (CEST)
Unleashing Clinical Insights at the Lakehouse
Vanessa Henning, Clinical Product Architect, Bayer
17:35 (CEST)
Live Lab Sessions
Keynote Sessions

Live Lab sessions are interactive group discussions which tackle the bigger questions of the day in an open forum to brainstorm ideas and discuss the roadblocks to break-through innovation. They take the format of moderated standing discussions. The objective is to share views and experiences to stimulate new ways of thinking about common objectives.

18:10 (CEST)
Networking Drinks Reception
08:50 (CEST)
Day Two – Opening Information
09:00 (CEST)
Keynote Sessions
Keynote Sessions
09:00 (CEST)
From Lab to Impact – Advancing Innovation Through Scientific Collaboration
Karen Kohler, VP and Head of Corporate R&D, Bayer
09:15 (CEST)
Harnessing AI and Computational Science to Accelerate Discovery and Reshape the Future of Biomedical Research
Bulent Kiziltan, VP and Global Head AI and Computational Sciences, Novartis
10:00 (CEST)
Big Pharma Enterprise-Wide Digitally Enabled Business Transformation – How to Connect the Dots
Keynote Sessions
Daniel Vejsig Stephansen, VP, Head of Digital Transformation, Novo Nordisk
  • Digital transformation – how to initiate it and maximize value creation
  • Cool new products that reduce time to patients
  • AI, automation, and taking control of data
  • How to re-organise and centralise processes to harness data more efficiently and effectively
Keynote Sessions
10:15 (CEST)
Discovery Without Boundaries: the Lab of the Future at the Francis Crick Institute
James Fleming, CIO, Francis Crick Institute
11:00 (CEST)
Coffee and Networking Break in the Exhibition Area
11:40 (CEST)
Track Sessions
Automated Lab
11:40 (CEST)
Robotics in Cell Therapy – ACT Smart (Adherent Cell Therapy Using Smart Robotics)
Subash Ramamoorthy, Project Lead Automation & Robotics, Bayer
11:55 (CEST)
The Journey of Implementing an Ultra High-Throughput Screening (uHTS) Automation Facility
Bethan Howells, Senior Automation Scientist, AstraZeneca
Digital Transformation
11:40 (CEST)
Envisioning, Developing, and Executing our Journey Towards the Lab of the Future
Andreas Steinle, Digital Integration lead, Roche
11:55 (CEST)
Building the Lab of the Future From an IT Perspective
Alvaro Minguez Horcajada, Product Manager – Lab Experience, Roche
Lab Operations
11:40 CET
Achieving Efficiency in the Utilisation of your Lab Assets
Mark McCord-Amasis, VP, Portfolio Optimization and Design, Pfizer
11:55 (CEST)
The Lab of the Future Supporting Drug Discovery at CRL
Rob Howes, Head of Discovery Sciences UK, Charles River Laboratories
12:40 (CEST)
Lunch and Networking Break in the Exhibition Area
13:40 (CEST)
Track Sessions
Automated Lab
13:40 (CEST)
Implementation of a Global CMC System
Amellalih Reza Salgado, Global QA Project Manager, Bayer
13:55 (CEST)
Bridging the Gap: From Strategic Vision to Innovative Execution in CMC Digital
Ricardo Parra-Cruz, Portfolio Lead Industry 4.0, GSK
Digital Transformation
13:40 (CEST)
Building a Transformational Knowledge Management Solution for R&D
Stefano Dal Santo, Head of Knowledge Management, Novartis
13:55 (CEST)
Carrots and Sticks: Towards Implementation of FAIR Data Standards
Sebastian Kube, Senior Data Scientist, Boehringer Ingelheim
Lab Operations
13:40 (CEST)
A Data Driven Approach to Lab Asset Life Cycle Management
Giulia Rancati, Market Solutions Lead for R&D, Roche
13:55 (CEST)
Lab Equipment Optimization and Management
Lisbhit England, Global Procurement Manager, R&D, Novartis
14:10 (CEST)
Harmonization and Standardisation in Rapid Evolving Business
Tamara McKenna, Director Global LIMS, Clinisys
Nicole Moberg, Chief Executive Officer, Genesis Reference Labs
14:40 (CEST)
Incorporating Biotechs into Sanofi and Partnering in AI – a Digital Perspective
AI to Optimize
Patricia Beau, M&A&D Digital Lead – R&D, Sanofi
  • Integrating biotech’s into Sanofi post-acquisition, and the digital implications of this, with a special focus on AI
14:40 (CEST)
Data Driven Improvement of Experimental Design in Protein Production
Data Strategy
Duncan Johnstone, Data Analytics Lead, GSK
  • Data driven protein production, harnessing data to improve experimental methods
  • Using ML model to predict and model next experiment for improvement of experimental design or assay data capture

Connected Lab
14:40 (CEST)
How Semantically Enriched Master Data Increases Value of Preclinical Data
Martin Clausen, Product Owner Lab Digitalization, Bayer
14:55 (CEST)
Utilising the IDMP Ontology to Facilitate Interoperability and Drive FAIRification
Connected Lab
Karsten Quast, Data Domain Owner, Boehringer Ingelheim
  • The benefits of a Pistoia Alliance driven project
  • Integrating disparate data across the value chain
  • Moving from a system centric to a data centric view
15:40 (CEST)
Towards Self-Driving Development of Cell Therapies
AI to Innovate
Rickard Sjögren, AI Project Manager, CellVoyant

AI-based real-time analysis of cell fates – CellVoyant has developed AI-technology using live cell imaging to accurately monitor and analyse cell behavior in real time, improving insights into stem cell development to aid cell therapy development.

Enhancing differentiation protocols with AI – We are combining AI with advanced experimental design to fine-tune the experimental protocols for differentiation stem cells, aiming for better quality and reproducibility.

Toward an automated, AI-driven stem cell lab – Our roadmap includes developing a fully automated lab that uses AI to continuously improve and optimise differentation protocols, aiming to streamline operations and enhance research outcomes.

Connected Lab
15:40 (CEST)
Synergy in Science: Crafting the Digital Lab
Barbara Panasiuk, Tech Product Owner - CMC Digital and Tech, GSK
Data Strategy
15:55 (CEST)
EMBL-EBI Industry Programme – Disseminating Cutting-Edge Technologies to Industry
Matt Hall, Senior Scientific Officer, EBI-EMBL
15:40 (CEST)
The Semantic Lab of the Future
Data Strategy
Wolfgang Klute, Director, AstraZeneca

Historically data generated during pharmaceutical development has been stored in data siloes separated by business processes, batches and disconnected systems. In order to accelerate pharmaceutical development and to meet future regulatory requirements, there is a need to structure and connect relevant data on drug substance and product. The presentation will outline our future vision and first steps to connect lab data in knowledge graphs.

15:55 (CEST)
Getting Stuck on Serendipity: a Molecular Glue Problem
AI to Innovate
Benedict Cross, CTO, Phoremost
16:10 (CEST)
AI Toolkit for Precision Oncology: From Drug Development to Treatment
AI to Innovate
Altuna Akalin, Group Leader, Max Delbruck Center for Molecular Medicine

The novel AI toolkit presented in this work is a pioneering endeavor to connect the dots from drug development to treatment selection within the realm of cancer care.
At the foundation of our approach lies the utilization of causal models in the target discovery phase, which are validated using CRISPR screening on various cancer models to confirm the relevance of identified targets for therapeutic intervention.

Altuna Akalin Group Leader, Max Delbruck Center for Molecular Medicine

I’m a bioinformatics scientist and the head of Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems BiologyMax Delbrück Center in Berlin. I have been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. I mainly use machine learning and statistics to uncover patterns related to important biological variables such as disease state and type. I spent some time in the USA, Norway, Turkey, Japan, and Switzerland in order to pursue research work and education related to statistics, machine learning and bioinformatics.

The underlying aim of my current work is utilizing complex molecular signatures to provide decision support systems for disease diagnostics and biomarker discovery. In addition to the research efforts and managing a scientific lab, since 2015, I have been organizing and teaching at computational genomics courses in Berlin with participants from across the world.