Conference Overview

The 6th Annual Digi-Tech Pharma & AI conference brings with it even more interactive sessions, expert speakers, senior professionals and decision makers from leading pharma, bio-tech and healthcare industry. Meet the decision makers, benchmark and learn from real-life use cases to drive organizational change and to understand the new cutting-edge technologies and practical solutions. In this 6th edition as we explore the novel technologies and developments reforming pharmaceutical industry, we also dive deep into the implementation and advances in machine learning, deep learning, artificial intelligence, informatics and data science which has redefined the development of new drugs, tackle diseases, improving healthcare and much more.


The enhancements in data management and data integration are providing improvements to both the speed and quality of drug discovery and many clinical trial processes. To be in the forefront, a necessity for partnership and collaboration with healthcare provider is a must for the pharmaceutical companies, and these partnerships will also lead to massive advances in R&D using artificial intelligence in genomics and precision medicine to develop a deep understanding of the root causes of diseases.

The combination of AI, big data and IoT technologies are creating new innovations, also other eminent technologies like cloud computing, augmented reality, virtual reality and blockchain are being used extensively in the Pharmaceutical industry’s digital transformation.


It gives us a great pleasure in welcoming you to our whole new pharmaceutical technology conference 6th Annual Digi-Tech Pharma & AI 2023.



Reimagining Pharma by Integrating Science and Technology:

  • Digital Technology trends in Pharma and Bio-Tech industry
  • Adopting AI and Machine Learning to unlock the full potential of Pharma
  • How pharma can integrate into digital health environment
  • Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma
  • Patient Centred Drug Discovery

Digital Discovery and Clinical Trials: 

  • Applying AI to the design of lead compounds for new drugs
  • Algorithms and Models for drug discovery
  • AI and ML for Target Identification & Validation in Drug Discovery
  • Advancing Drug Discovery through quantum computing
  • Genomics & Drug Discovery
  • Virtual and Hybrid Clinical Trials
  • R&D Use Cases

Decoding the Value of Data Science, Big Data & Informatics:

  • Implementation and relevance of FAIR data principles in Pharma R&D
  • Harnessing Data Science for Drug Combination Discovery
  • AI and Big Data: A powerful combination for future growth
  • The use of AI to make sense of clinical data
  • Use of big data for precision medicine
  • Multi-omics & clinical data to unlock the power of complex datasets
  • Integration and Visualization of translational Medicine Data
  • Data & Healthcare Analytics

Real-World Data & Real-World Evidence: 

  • The Growing Importance of Real-World Data
  • RWD for clinical research and drug development
  • RWE and RWD to support regulatory decision making
  • Real?World Data Science to advance Patient Care
  • Managing real world data governance

Digital Health & Future Innovations:

  • Healthcare & Medical Technology
  • Adoption of IoT in Pharma
  • Potential of Cloud Computing in Pharma
  • Impact of Digital Health in Pharma
  • Digital Health strategy and Patient centric Clinical Trials
  • The convergence of Digital Therapeutics and Pharma in Digital Health
  • How pharma-health collaboration works on innovating drug discovery & patient experience
  • Blockchain and AI-based Platform




This event is designed for senior level attendees from various companies including pharmaceutical, biotechnological, biopharmaceutical, CRO’s, Diagnostics, solution provider and government institutions.

Attendees includes Chief Data Officer, VPs, GMs, Directors, Heads and Managers of

  • Drug Discovery
  • Drug Delivery Innovation
  • R&D IT
  • Big Data Solutions
  • AI/ Machine Learning
  • Cognitive Computing
  • Digital innovative strategic planning
  • Regulatory and pharmacovigilance
  • IT Strategy
  • Real-World Data
  • Real-World Evidence
  • Data Management & Analytics
  • Data Science 
  • Clinical trials and data management
  • Translational informatics
  • Data storage and analysis
  • Enterprise Architecture
  • Information Systems
  • Contract outsourcing service providers
  • Digital Health
  • Genomics
  • Healthcare IT
  • Multi-channel Management





pharmaceutical companies



There are plenty of opportunities to position yourself as a thought leader & showcase your company.

For enquiries on speaker opportunities please e-mail to

Become a Speaker

Wednesday - 10th May 2023

  • 08:30
  • Registration & Refreshments

  • 08:50
  • Chairperson’s opening remarks

Innovation in Pharma

  • 09:00
  • Accelerating Digital Transformation in Pharma

    • Company leadership and transformation
    • Need for communication specialists and up-to-date technologies
    • Hiring digital experts and collaborations
    • The need to be really quick in transforming at every level

    Umair Aslam

    Umair Aslam Customer Engagement Lead, Oncology

  • 09:30
  • Quantum Computing for Drug Discovery - Fact or Fiction?

    Ian Pepper

    Ian Pepper Director Technology Innovation

  • 10:00
  • Executives Discussion and Debate: How Global Pharma is using AI and Machine Learning for success?

    • Innovation in Big-Pharma
    • AI enabled business models in R&D
    • Achieving full potential of AI to boost Drug Discovery and Development
    • AI has the capacity to radically reduce the uncertainty in both early and late-stage drug discovery and development

    Thierry Dorval

    Thierry Dorval Head of Data Sciences & Data Management

  • 10:30
  • Morning Coffee/Tea & Networking

  • 10:50
  • External Data Acquisition: How to build a Commercial Data Strategy from scratch ?

    • What are the benefits for your organization?
    • Which strategies for efficient collaboration ?
    • How to measure success ?
    • The challenge of data awareness
    • Make or buy ?

    Florent Hassen

    Florent Hassen Global Data Science & Artificial Intelligence Lead
    F. Hoffmann-La Roche

AI and ML based Drug Discovery

  • 11:20
  • Accelerating scientific discovery: Exploring early drug discovery through Artificial intelligence

    Christos Varsakelis

    Christos Varsakelis Team Lead AI/ML Early Drug Discovery, In Silico Discovery & External Innovation
    Janssen Pharmaceutical

  • 11:40
  • Quantum computing use cases from drug discovery/drug development in pharma


    For sponsorship opportunities please contact: or call +44 (0) 207 096 0786

  • 12:10
  • Maximizing Drug Discovery Success with Machine Learning

    • Using machine learning to integrate distinct, bigger datasets created from high throughput screening data can provide a path to predict bioactivities for targets and molecular properties with increased levels of accuracy
    • Broader applicability of machine learning and the potential to change the drug development paradigm
    • ML tools that can improve discovery and decision making

    Peter Henstock

    Peter Henstock Machine Learning & AI Technical Lead

  • 12:30
  • Combining robotics and AI for data-driven drug discovery

    Martin-Immanuel Bittner

    Martin-Immanuel Bittner Co-founder & CEO

  • 12:50
  • Networking luncheon

Genomics and Precision Medicine

  • 13:30
  • Combining data for precision health

    Andy Cachaldora

    Andy Cachaldora General Manager Digital Service Northern Europe
    GE Healthcare

  • 14:00
  • Enabling precision medicine with integrated genomic and clinical data

    • Transforming the entire pharmaceutical value chain
    • How do we implement Precision Medicine in the Real World?
    • How does it affect the ecosystem of healthcare?
    • Future of genomics and precision medicine


    For sponsorship opportunities please contact: or call +44 (0) 207 096 0786

  • 14:30
  • Genomics England Multimodal cancer research platform

    Prabhu Arumugam

    Prabhu Arumugam Director of Clinical Data and Imaging
    Genomics England

  • 15:00
  • Afternoon Tea/Coffee

Data Science, Big Data & Informatics

  • 15:20
  • Implementation and relevance of FAIR data principles in Pharmaceutical R&D

    • Improving the efficiency and effectiveness by implementing the FAIR guiding principles for scientific data
    • Tools enabling FAIR data
    • Fair as a machine learning enabler
    • Benefits of FAIR in pharma

    Chuang Kee Ong

    Chuang Kee Ong Associate Director, Lead Information Architecture

  • 15:50
  • Translational drug informatics platform

    • Importance of Translational informatics platform in R&D
    • Why is it necessary to adopt TI in the resource –constrained world
    • Challenges ahead and moving forward

  • 16:20
  • data42: Accelerating insights from connected data to achieve greater value for patients

    Peter Speyer

    Peter Speyer Head of Customer Success, data42

  • 16:50
  • Coordination and Optimisation of internal drug development data alongside external data sources

    Thierry Dorval

    Thierry Dorval Head of Data Sciences & Data Management

  • 17:20
  • Round Table Discussion


    All the participants will have a great opportunity to discuss and explore a selection of most interesting topics discussed during the conference in small groups with their industry colleagues in an informal setting.

    Each table will nominate a head who will summarise the discussion and questions posed. The group members are given equal rights to share and learn from each other's experiences to discover an actionable solution on the discussed topic.

  • 17:50
  • Closing remarks

  • 18:00
  • Networking Drinks Session

Thursday - 11th May 2023

  • 08:30
  • Registration & Refreshments

  • 09:20
  • Chairperson’s opening remarks

Real World Data & Real World Evidence

  • 09:30
  • Real World Evidence model for assessing new drugs - Enhancing Real World Data Environment

    • How RWE model can be used in R&D to accelerate new product developments?
    • Integrated evidence development model
    • Building an effective RWE based capabilities system
    • Advantages of implementing AI and ML

    Kevin Pollock

    Kevin Pollock Director of Real World Evidence, International Markets
    Bristol Myers Squibb

  • 10:00
  • Integration and Analysis of Real-World Data (RWD) for clinical research and drug development

    • Leveraging Real-World Data to Overcome the Inefficiencies of Drug Development
    • Understanding the clinical processes
    • RWD to create novel, faster and less invasive approaches to advance disease understanding and biomarker discovery
    • RWD for EHRs in last phase research studies
    • Real-World Data in clinical study through a decentralized approach


    For sponsorship opportunities please contact: or call +44 (0) 207 096 0786

  • 10:30
  • Morning Coffee/Tea & Networking

  • 10:50
  • Prognostic biomarker Identification in Huntington’s disease with RWD machine learning modelling

    Naghmeh Ghazaleh

    Naghmeh Ghazaleh Principal Data scientist, Pharma development , Personalized Health Care (PHC)

Data Integration, IoT and Cloud

  • 11:20
  • Pivotal role of Data Integration in Enabling pharma to fit its drug development strategy while accelerating innovation

    • Integrating data from distinct sources and leverage predictive analytics to drive informed, realtime decisions
    • Deep Learning based multi-omics data integration
    • Role of data integration and analytics and how it helps in faster decision making and clinical trials.
    • Implementing end-to-end data integration

    Nikolaus Stiefl

    Nikolaus Stiefl Director Data Science

  • 11:40
  • Intelligent factory line clearance using AI and Augment Reality.


    Conducting a factory line clearance in a pharmaceutical manufactory requires detailed SOPs with procedures that can be difficult to both conduct and document execution of.

    In this session we present a way to use a combination of Spatial AI, Computer Vision combined with Synthetic data and augmented reality to both increase quality of cleaning and documentation of execution.

    •  Spatial AI
    • Computer vision
    • Synthetic data
    • Augmented reality

    Leif Elgaard Hoj

    Leif Elgaard Hoj Chief Technology Officer

  • 12:10
  • Innovation at pace. How Digital Experience Platforms accelerate growth in Pharma

    Szymon Heliosz

    Szymon Heliosz Senior UX Designer & CX Strategist
    NoA Ignite

  • 12:40
  • How Pharma can leverage Cloud Computing and AI to increase access to the broadest range of data in Drug Discovery and Design?

    • BI & Analytics in cloud
    • Decentralized IT infrastructure
    • Scalability and flexibility
    • How can efficiency be improved?


    For sponsorship opportunities please contact: or call +44 (0) 207 096 0786

  • 13:00
  • Networking luncheon

Digital Health in Pharma & Collaboration

  • 13:30
  • Digihaler Inhaler Case Study and Lessons from Air Crashes

    Mark Milton-Edwards

    Mark Milton-Edwards Head of Health Solutions - Digital Health
    Teva Pharmaceuticals

  • 14:00
  • What is the best organizational structure to enable innovation?

    Pelin Icil

    Pelin Icil Regional Marketing & Business Development Manager
    Boston Scientific

  • 14:30
  • Blockchain technology to improve efficiency and safety


    For sponsorship opportunities please contact: or call +44 (0) 207 096 0786

  • 15:00
  • Afternoon Tea/Coffee

  • 15:20
  • Challenges in assessing the value of digital health innovations in a Pharmaceutical setting

    Ismael Gauci

    Ismael Gauci Personalised Healthcare Strategy & Business Enablement Leader

  • 15:50
  • Topic TBC

    Julio Molineros

    Julio Molineros Associate Director
    The Janssen Pharmaceutical Companies of Johnson & Johnson

  • 16:20
  • Panel Discussion: Emerging technologies and how pharma-health collaboration works on innovating drug discovery & patient experience

    • Why is it important for pharma and healthcare to work together?
    • The changing patient behaviour in the digital era
    • Why is it essential to be prompt in identifying and addressing the patient’s needs?
    • How will digitization help bring patients on board?
    • Progress made by companies so far
    • Strategies to be adopted to increase patient –company data flow

    Pelin Icil

    Pelin Icil Regional Marketing & Business Development Manager
    Boston Scientific

  • 16:50
  • Closing remarks

Delegate Registration

Corvus Global Events recognises the value of learning in teams. There's so much great content!!!

Bring your team and get an extra discount. There are special group packages available. Please email to delegate@corvusglobalevents.comfor more details.

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