11th -13th September | Amsterdam

Main Conference Day 1

9:00 am - 9:15 am Chairman's Welcome & Icebreaker

9:15 am - 9:55 am Towards Models of Prospective Curation in the Drug Research Industry

Samiul Hasan - Director Data Curation, GSK
  • Discuss drug industry data management - knowledge persistence and knowledge vigilance
  • Apply ontologies and machine learning-based approaches to deliver a much needed change
  • Improve your software design approaches in order to make the process of data and knowledge acquisition more attractive and empower scientists to do more

Samiul Hasan

Director Data Curation

  • Learn how to integrate machine learning into your data strategy
  • Empower your research with machine learning technologies
  • Take action from insight

Brunhilde Schölzke

Associate Director R&D IT
MSD Animal Health Innovation

Pavel Vacha

Associate Director, Data Science IT Hub
MSD IT Innovation

10:40 am - 11:10 am Networking Coffee Break

11:10 am - 11:50 am Data Intelligence in Pharma R&D: Semantics meets Analytics

Giovanni Tummarello - CPO/Founder, Siren Solutions
  • Discover why, in complex scenarios, information is much more a “knowledge graph” than just a bunch of tables
  • Learn how data intelligence is coming together of “Semantics” (Ontologies) and analytics
  • Understand how with semantic underpinning, the investigative analytic UI can automatically suggest connections in dashboards and graph/link analysis 

Giovanni Tummarello

Siren Solutions

11:50 am - 12:30 pm Data Quality-Defined Analytics Processes for Drug Development

Julian Morris - Technical Director, CPACT
  • Define your unique process and analytical variability quality challenges
  • Advance your predictive modelling with lessons learned from the Centre for Process Analytics & Control Technology
  • Discuss strategies to improve your data visualisation

Julian Morris

Technical Director

12:30 pm - 1:30 pm Networking Lunch Break

  • Ensure authenticity of health records and protocols on record sharing
  • Eradicate fraudulent altering or modification of patient data and clinical trial data
  • Empower research and accelerating collaboration across the board in order to ensure adoption

Pascal Bouquet

Global Head Technology and Architecture for Global Drug Development

2:10 pm - 2:50 pm CASE STUDY: Applied A.I. in Clinical Development

Leonardo Rodrigues - Senior Director, AI & Machine Learning, BERG Heath
  • Analyse why AI should be implemented in clinical development
  • Discover the key obstacles to deploy a production-level AI in drug discovery
  • Examine examples of successful AI applications in drug discovery and patient stratification

Leonardo Rodrigues

Senior Director, AI & Machine Learning
BERG Heath

2:50 pm - 3:20 pm Networking Coffee Break

  • Foster a productive culture of collaboration across departments
  • Develop your own non-competitive way to stay ahead of the curve
  • Implement a data strategy that factors in contractor obligations and market access

Maman Khaled

European HTA and Health Economics manager
Otsuka Pharmaceutical Companies

  • What is the best strategy to begin integrating M.L., A.I. & Blockhain into you company
  • Is it only R&D – opening and learning from collaboration externally and internally
  • Where is the proof - ROI or buzz words? 

Pascal Bouquet

Global Head Technology and Architecture for Global Drug Development


David Whewell

Director of Architecture and Software Innovation
Merck Group


Brunhilde Schölzke

Associate Director R&D IT
MSD Animal Health Innovation

Wolfgang Paul

Senior Scientist, Digitalisation
Roche Diagnostics

5:00 pm - 5:30 pm Chairman's Closing Remarks