Cutting Through the Hype to Successful Implementation and Impactful ROI
Boston, MA. October 9th, 2018 – The State Room
Key Features of AI in Pharma 2018

Where is AI Moving the Needle?
Understand how and where AI is having a genuine impact on R&D through use-case presentations at the cutting-edge of defining AI’s impact in pharma

Critical Strategic Discussions
Managing expectations, Demonstrating value internally, Responsibility of C-suite, Data infrastructure, Where to invest efforts and more will all be deciphered and analyzed

Senior-Level Networking
Meet with decision-makers and AI champions in this intimate and high-quality setting to generate genuinely impactful connections and takeaways
Members of the AI in Pharma Summit Community

Expert Speaker Faculty




Jaquie has a BSc in Applied Biology, 10 years’ experience in Molecular Biology and 15 years’ experience of Product Management and Marketing for software, hardware and digital services in medical and life science industries that include immunology, ophthalmology, neuroscience and bioinformatics. Jaquie has also worked in telecommunications, food hygiene and intelligence informatics.
Jaquie is a member of the Chartered Institute of Marketing (CIM).








Van Dyke's work at the intersection of biological science and computer science began at startup Bio Image Corporation. The company became the market leader in image-based genomics and proteomics under his leadership as VP sales, VP worldwide marketing and sales, general manager, and CEO. The company merged with another firm and went public on the NASDAQ.
He has had executive roles at Molecular Mining Corporation, a life science data mining company and INCOGEN, a Bioinformatics company and has advised more than a dozen start-ups and government agencies. He has been a speaker at the Mason School of Business at the College of William and Mary and the Kenan-Flagler Business School at the University of North Carolina and is a graduate of Duke University.





Birgit received her Chemical Engineering degree from the Technical University in Karlsruhe, Germany, and her Ph.D. in Biological Engineering from the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg. She was a post-doctoral fellow in the laboratories of Douglas Lauffenburger and Peter Sorger in the Biological Engineering Department at MIT.

Rupen has 20+ years of experience working with mid- to large-biopharmaceutical companies on operating model design, process improvement and automation, IT strategy / implementation, and information / data management. He specializes in large complex IT and business transformation programs.




8:00 Registration, Breakfast & Networking
AI in Pharma: Cutting Through the Hype to Realization
Adoption of AI has been well underway in pharma over the last few years but critical discussions remain about how to best implement AI and extract the maximum amount of insights and value. This opening session will take a critical look at the strategic discussions and decisions that need to be made pharma to realize the full potential of AI. Utilise this session to go beyond the hype of AI in pharma and drill into the largest challenges and opportunities that face these applications today.
9:00 Chairman’s Opening Remarks & Setting the Scene
Sebastien Lefebvre, Senior Director, Data Analytics & Decision Support, Alexion Pharmaceuticals
9:10 A Machine Learning Enabled Workflow in Drug Discovery
John Baldoni, SVP, Head of In Silico Drug Discovery, GSK
9:35 Building the Digital Ecosystem Required for Tomorrow’s Clinical Trials
Jaquie Finn, Head, Digital Health, Cambridge Consultants
10:00 Panel Discussion and Open Q&A: Implementation to Realization – How do we Accelerate AI Through its Lifecycle in Pharma?
Birgit Schoeberl, Global Head, Modelling & Simulation, PK Sciences, Novartis
Gayle Wittenberg, Head, Translational Research and Precision Medicine Neuroscience Integrative Solutions & Pharma R&D IT, Janssen
Eric Stahlberg, Director, Biomedical Informatics and Data Science, Frederick National Laboratory
10:40 Morning Refreshments & Networking
Use Case Presentation I: Where is AI Moving the Needle?
AI holds huge promise in drug discovery and development but genuine examples of where these approaches are having an impact today remain sparse. This set of case-study presentations will showcase some of the most promising areas where AI is making an impact along the pharma workflow. Utilise these examples to understand how success has been achieved in these areas and what’s next for these promising research applications.
11:10 Use Case 1: Integrating Protein Motion and Machine Learning into the Drug Discovery Workflow
Pat Walters, Vice President, Computation, Relay Therapeutics
11:35 Use Case 2: The Use of AI in Early Clinical Development
Kim Branson, Head of A.I, Early Clinical Development Informatics, Genentech
12:00 Use Case 3: In Silico Predictions & In Vivo Correlations: The importance of Data Quality and Integrity in Driving AI empowered Discovery
Nora Khaldi, Founder & Chief Scientific Officer, Nuritas
12:25 Use Case 4: Can we Accelerate the Adoption of AI in Pharma by Learning from Experience in other Industries?
Sam Genway, Principal AI Solutions Engineer, Tessella
12:50 Long-Table Lunch & Networking
Interactive Workshops
During these intimate breakout sessions, attendees will discuss some of the key questions surrounding AI and machine learning in pharma. Through deep-dive discussions, examples and peer-to-peer learning, these interactive workshops will allow attendees to uncover answers to questions that are not possible through presentations and panels… The topics in session A and B will remain the same; giving you the opportunity to participate in two sessions. You are spoilt for choice!
1:50 Workshop Sessions A:
Workshop 1A:
Collaborating to Accelerate Drug Discovery: Lessons for Pharma and the Promise of AI in the Discovery of Next-Generation Therapeutics
Nuritas will run an interactive workshop with an insightful panel discussion on the topic
Vanita D. Sood, Global Head of Drug Structure, Prediction & Design, EMD Serono, Inc.
Agam Sheth, PhD, Director Enabling Technologies, Merck Research Laboratories, Merck & Co., Inc.
Alan Kopin, Director, Molecular Pharmacology Research Center | Professor, Tufts University School of Medicine | Professor, Sackler School of Graduate Biomedical Sciences
Lina Williamson, DVM PhD, Director, Entrepreneurship & Innovation | Translational Accelerator, Brigham and Women’s Hospital (Harvard University)
John Baldoni, SVP, Head of In Silico Drug Discovery, GSK
Nora Khaldi, Founder & Chief Scientific Officer, Nuritas
Emmet Browne, Chief Executive Officer, Nuritas
Workshop 2A:
Practical & Relevant applications of Artificial Intelligence
Why do so many companies fail in delivering AI & Machine Learning tools to the Pharma? Learn about some key elements to consider when considering the use of AI and ML in Pharma including some high level, practical use cases.
Lawrence Ganti, CEO of Life Sciences, Innoplexus
2:30 Workshop Sessions B: Time to Switch!
Workshop 1B:
Collaborating to Accelerate Drug Discovery: Lessons for Pharma and the Promise of AI in the Discovery of Next-Generation Therapeutics
Nuritas will run an interactive workshop with an insightful panel discussion on the topic
Vanita D. Sood, Global Head of Drug Structure, Prediction & Design, EMD Serono, Inc.
Agam Sheth, PhD, Director Enabling Technologies, Merck Research Laboratories, Merck & Co., Inc.
Alan Kopin, Director, Molecular Pharmacology Research Center | Professor, Tufts University School of Medicine | Professor, Sackler School of Graduate Biomedical Sciences
Lina Williamson, DVM PhD, Director, Entrepreneurship & Innovation | Translational Accelerator, Brigham and Women’s Hospital (Harvard University)
John Baldoni, SVP, Head of In Silico Drug Discovery, GSK
Nora Khaldi, Founder & Chief Scientific Officer, Nuritas
Emmet Browne, Chief Executive Officer, Nuritas
Workshop 2B:
Practical & Relevant applications of Artificial Intelligence
Why do so many companies fail in delivering AI & Machine Learning tools to the Pharma? Learn about some key elements to consider when considering the use of AI and ML in Pharma including some high level, practical use cases.
Lawrence Ganti, CEO of Life Sciences, Innoplexus
3:10 Afternoon Refreshments
Use Case Presentations II: Where is AI Moving the Needle?
AI holds huge promise in drug discovery and development but genuine examples of where these approaches are having an impact today remain sparse. This set of case-study presentations will showcase some of the most promising areas where AI is making an impact along the pharma workflow. Utilise these examples to understand how success has been achieved in these areas and what’s next for these promising research applications.
3:40 Use Case 5: Deep Learning Applied to Crystal Structural Imaging
Vijay Bulusu, Head, Data & Digital Innovation, Pfizer
4:05 Use Case 6: AI in Action: Four Ways We’re Using AI Right Now in Pharma
Rupen Mehta, Life Sciences Expert, PA Consulting Group
Willem van Asperen, Global Capability Lead AI & Data Analytics, PA Consulting Group
Looking Ahead and Critical Questions
With many learnings from this summit and a vast number of options moving forward, it is crucial that pharma takes a critical look at how to utilize AI moving forward. This closing panel session will focus on the crucial questions pharma needs to ask itself and collaborators in relation to where and how to best invest efforts and resources. Utilize this session to finalize genuine takeaways from the event around the crucial challenges/opportunities that remain.
4:30 Panel Discussion and Open Q&A: How and Where Should we Invest our Efforts Moving Forward?
Don Van Dyke, Chief Operating Officer, Cloud Pharmaceuticals
Slava Akmaev, Senior Vice President & Chief Analytics Officer, Berg Health
Kim Branson, Head of A.I, Early Clinical Development Informatics, Genentech
Rachel Sha, Vice President, Digital Business Development, Sanofi
5:10 Chair’s Closing Remarks
Sebastien Lefebvre, Senior Director, Data Analytics & Decision Support, Alexion Pharmaceuticals
5:20 Drinks Reception
6:20 Close of 2nd Annual AI in Pharma Summit
The Venue
The AI in Pharma Summit takes place in the inspiring State Room, situated on the 33rd Floor of the Sixty State Street skyscraper in downtown Boston.
Panoramic windows, mahogany floors and state of the art lighting ensure that this purpose built venue will enhance your learning experience.
We’ve worked closely with our caterers to ensure you have everything you need for the day. From brain fuel at the innovation breakfast to relaxing drinks at the end of the day, everything is designed to enhance your experience.
Accommodation is not available at the venue, but there is a wide variety of hotels within short walking distance.
Full details of the venue location, hotels, catering and travel will be included in your registration pack.

Sponsorship
The 2017 summit exceeded all expectations and the 2018 summit is attracting considerable interest.
The success of the 2017 summit was down to the high-class programme and the quality of the audience. Registrations were only accepted from applicants who were appropriate for the summit and delegates from vendor companies were not permitted.
This ensured that the audience of senior decision makers were able to meet with a selected group of relevant suppliers. Our 2017 sponsors tell us that they made significant inroads into target companies and advanced their sales pipelines.
For further information, or to have an informal discussion regarding sponsorship opportunities, please contact Sam Confino on 020 3865 9002 or sam@greygreenmedia.com

2017 Audience Breakdown
