Bio IT World Expo 2016  
Bio IT World Expo 2016

Track 9 - April 5 – 7, 2016

Pharmaceutical R&D Informatics

Collaboration, Data Science and Biologics

With the increased generation of data from a wide number of sources including R&D, clinical, translational, genomic and personal data, pharma and biotech must effectively manage and integrate data from all stages of the pharmaceutical value chain to enable more informed decisions. Track 9 explores the transformation of current IT and informatics teams into data science groups and current progress made by such groups in the analysis, integration and visualization of complex data sets, including genomic, imaging, clinical, external/internal collaboration and real world data.

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Tuesday, April 5

8:00 – 11:30 Recommended Morning Pre-Conference Workshops*
Data Management for Biologics: Registration and Beyond

12:30 – 4:00 pm Recommended Afternoon Pre-Conference Workshops*
Data Science Driving Better Informed Decisions

* Separate registration required

7:00 am Workshop Registration and Morning Coffee

2:00 – 6:00 Main Conference Registration


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5:00 – 7:00 Welcome Reception in the Exhibit Hall with Poster Viewing

Wednesday, April 6

7:00 am Registration Open and Morning Coffee


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9:00 Benjamin Franklin Awards and Laureate Presentation

9:30 Best Practices Awards Program

9:45 Coffee Break in the Exhibit Hall with Poster Viewing

Strategy & Analytics

10:50 Chairperson’s Opening Remarks

Yuriy Gankin, Ph.D., Chief Life Sciences Officer; Vice President, Life Sciences, EPAM Systems, Inc.

11:00 Leverage the Wealth of Internal and External Information to Drive Collaboration and Project-Centricity into Your Research Informatics Platform for Drug Discovery and Development; A Strategic Imperative

James Connelly Ph.D., Global Head, Research Data Management, Sanofi U.S.

Drug Discovery Research organizations have a strategic imperative to fully leverage internal data and external data to drive efficiency and therapeutic innovation. Pilot studies with IBM Watson for toxicology and drug-repurposing along with the use of “Big Data” integration technologies with cloud-based SAR data platforms for collaboration will illustrate this opportunity.

11:30 Making Scientific Data 100x Easier to Use: Transforming Pharmaceutical R&D with Scalable Approaches to Data Stewardship and Data Integration

Carol Rohl, Ph.D., Executive Director, Scientific Information Management, Merck & Co., Inc.

The majority of resources in most scientific informatics projects are dedicated to accessing, understanding, curating, and integrating the input data assets. Declining R&D productivity and expanding data volume and variety are driving dramatic demand increases for analytics. To address the data challenges at scale we are combining stewardship capabilities that leverage crowdsourcing to enrich context and a platform solution to manage data variety, building on the Big Data technology stack as key components of an ecosystem of agile fit for purpose datasets and informatics solutions.

12:00 pm Informatics Solutions to Address the Changing Research Paradigms

Robert Brown, Ph.D., Vice President, Global Informatics, Dotmatics

12:15 Integration of Rich, Connected Analytical Information Across Corporate Informatics Landscapes and the Impact on Innovation

Andrew Anderson, Vice President, Business Development, ACD Labs

12:30 Session Break

12:40 Luncheon Presentation (Sponsorship Opportunity Available) or Lunch on Your Own

1:40 Session Break


1:50 Chairperson’s Remarks

Peter Covitz, Senior Director, Information Strategy & Analytics, Pfizer Worldwide Research and Development

1:55 Improving Decisions with Richer Data: Text Mining and Text Search

James Gill, Ph.D., Director, Research Analytics, Bristol-Myers Squibb

Recently there has been much ado about the amount of untapped data trapped in unstructured formats and the challenges extracting that data. Our group has been focusing on provisioning search and analysis of unstructured content for a number of years in domains such as patent analysis and literature searching. We will dive into examples our ongoing efforts and the tools and approaches we use to make text data more accessible and valuable to R&D scientists.

2:25 Of Soft Drinks and Software: A Framework to Sustain Innovation in Computational Molecular Design

Enoch Huang, Ph.D., Executive Director, Computational Sciences, Pfizer R&D

One of the challenges in sustaining innovation in computational molecular design is the need to harness and deliver promising solutions irrespective of their source, without creating new software applications or re-write existing ones. In this talk, I will provide an overview of Pfizer’s molecular design infrastructure and the paradoxical solution that we’ve used to address this classic dilemma. I will also provide examples of specific computational methods and algorithms enabled by this approach, and describe our recent foray into cloud computing.

2:55 Presentation to be Announced

3:10 Taking Scientific Collaboration in the Cloud to the Next Level

Ton van Daelen, ScienceCloud Product Director, Marketing, Dassault Systemes, BIOVIA

Externalized collaborative research projects require integration and analysis of compound and bioactivity data from multiple sources. ScienceCloud supports secure data sharing in a “Cloud” and facilitates pipelining of data to/from internal data systems. In addition, ScienceCloud is now also used by small and medium research organizations to serve as their primary compute infrastructure, drastically lowering TCO while increasing nimbleness.

3:25 Refreshment Break in the Exhibit Hall with Poster Viewing


4:00 Impacting Clinical Research with Data Analytics

James Cai, Head Data Science, Pharmaceutical Research and Early Development Informatics, Roche Innovation Center New York

Data come in all shapes, sizes, and colors in today’s clinical research and development. Whether single-protein biomarker data or high dimensional sequencing data, structured or unstructured, numeric or in pixels, we need to understand them and manage them effectively. In this presentation, I will describe several new challenges facing clinical research teams, and how Data Science has been critical in addressing them. I will provide examples of how data visualization, machine learning, and image analysis all contribute to uncovering new insights that impacted scientific or business decisions.

4:20 From Genome Exploration to Clinical Implementation: The Challenge of Translational Pharmacogenomic Informatics

Peter Covitz, Senior Director, Information Strategy & Analytics, Pfizer Worldwide Research and Development

In the realm of discovery science, tools and infrastructure evolve rapidly, keeping pace with the availability of ever-larger data sets and increasingly scalable industrial cloud computing. In the realm of regulated clinical drug trials, however, informatics infrastructure and tooling is – by necessity - far more stable. This presentation will discuss the challenges that arise when these two very different environments intersect, and will describe strategies for addressing the impedance mismatch.

4:40 Building an Operational Data Repository for Exploratory Biomarkers

Al Wang, Associate Director, Exploratory Clinical & Translational Research IT, Bristol-Myers Squibb

Data integration continues to be a significant impediment to translational research and development. In particular, the ability to flexibly combine diverse biomarker data with relevant patient-level information to produce analysis-ready data sets is a challenge that has not been fully solved by existing tools and approaches. This talk will describe the use cases around biomarker data in drug research & development, as well as an ongoing project to implement a platform that assists in these use cases.

5:00 Sponsored Presentation (Opportunity Available)

5:30 – 6:30 Best of Show Awards Reception in the Exhibit Hall with Poster Viewing

Thursday, April 7

7:00 am Registration and Morning Coffee


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10:00 Coffee Break in the Exhibit Hall and Poster Competition Winners Announced


10:30 Chairperson’s Opening Remarks

10:40 Transforming Use of Real World Data Analytics

Minnie Chou, Director, Research & Development Informatics, Amgen, Inc.

Real world data (RWD) analytics is a key enabler for bringing effective and safe medicines to patients faster and cheaper. It can improve study designs, reduce trail enrollment times, facilitate fast-track filing strategies, shorten response time to health authority queries, and support value proposition of medicines. This presentation will discuss our approach and learnings unlocking the power of real world data assets.

11:10 Virtual Systems Pharmacology – The Next Generation of a TR&D Modeling and Simulation Environment

Marko Miladinov, Informatics Lead, Bristol-Myers Squibb

The internally developed Virtual Systems Pharmacology (ViSP) platform was implemented at BMS as a dynamic, highly scalable, model agnostic and therapeutic area agnostic application. The system seamlessly integrates the modelling tool of choice by the user, a web-based application, command line utilities, a database back-end and automatically scaling HPC environment built in the BMS Research Cloud environment that can be used to configure, manage and execute large-scale simulations for multiple models (of any sort) by multiple users.

11:40 Sponsored Presentation (Opportunity Available)

12:10 pm Session Break

12:20 Luncheon Presentation (Sponsorship Opportunity Available) or Lunch on Your Own

1:20 Dessert Refreshment Break in the Exhibit Hall with Poster Viewing


1:55 Chairperson’s Remarks

Farida Kopti, Ph.D., Director, Chemistry, Pharmacology, HTS Informatics & IT, Merck & Co., Inc.

2:00 Harnessing Edge Informatics to Accelerate Collaboration in BioPharma

Tom Plasterer, Ph.D., US Cross-Science Director, Research & Development Information, AstraZeneca

Using both technical and social solutions together knowledge can be shared and leveraged across the drug development process. This is accomplished by making data assets discoverable, accessible, self-described, reusable and annotatable. The Open PHACTS project pioneered this approach and has provided a number of the technical and social solutions to enable Edge Informatics. A number of pre-competitive consortia and some content providers have also embraced this approach, facilitating networks of collaborators within and outside a given organization.

2:30 A Platform Strategy for Research

Farida Kopti, Ph.D., Director, Chemistry/Pharmacology/HTS Informatics & IT, Merck & Co., Inc.

Merck is designing an open, cloud-based, integrated research data capture, management, and analytics platform to drive operational efficiency, improved user experience, scientific collaboration (internal and external) and accelerated decision-making. The objective is to enhance reusability of data and scientific informatics capabilities by standardizing data capture and management, and creating an application ecosystem that enables rapidly advancing science, while reducing the total cost of operations.

3:00 Integrative, Automated Assessment of Human Genetic Evidence to Enable Decision Making for Drug Target Identification and Validation

Janna Hutz, Ph.D., Director, Head Quantitative Genetics and Bioinformatics, Integrated Human Genomics (IHGx), Eisai, Inc.

Accessing and interpreting human genetic associations with complex traits is often a manual, labor intensive process. Eisai has established bioinformatic systems for capturing and integrating human genetic data from a variety of study types (GWAS, sequencing, familial, candidate gene, etc.). Automated integration of genetic associations with functional data enables the delivery of summary reports and calibrated numeric scores to biologists and geneticists alike, who are using this information to drive portfolio-level decision-making on selection of targets, biomarkers, and indications.

3:30 Managing Controlled Substances and Other Liability Flags

Roman Affentranger, Head, Small Molecule Discovery Workflows, Roche

Following up on the pre-work done by the Pistoia Alliance, we implemented a comprehensive solution managing our extensive set of liability flags for compounds including e.g. narcotic substances.

4:00 Conference Adjourns

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  • Making the World's Knowledge Computable
  • Bioinformatics in the Cloud
  • The Application of Text Analytics to Drug Safety Surveillance

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