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Data Security 

Data security is defined by the processes and mechanisms in place that prevent data misuse and identify threat risks. However, many biological research data sources, from IP to genomic to mobile, require different levels of security. The reality is that it matters not where your data exists, but the ways in which data is accessed. Track 13 addresses security services for both cloud-based systems and traditional computing.

Final Agenda


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TUESDAY, APRIL 29


7:00 am Workshop Registration and Morning Coffee

8:00 - 11:30 Morning Pre-Conference Workshops*

12:30 - 4:00 pm Afternoon Pre-Conference Workshops*


*Separate Registration Required. Click here for detailed information.


2:00 - 7:00 pm Main Conference Registration

4:00 Event Chairperson's Opening Remarks

Cindy Crowninshield, RD, LDN, Conference Director, Cambridge Healthtech Institute


4:05 PLENARY KEYNOTE SESSION 

Click here for detailed information. 


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

 

 


WEDNESDAY, APRIL 30

7:00 am Registration Open and Morning Coffee

8:00 Chairperson's Opening Remarks

Phillips Kuhl, Co-Founder and President, Cambridge Healthtech Institute


8:05 PLENARY KEYNOTE SESSION 

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9:00 Benjamin Franklin Award & Laureate Presentation

9:30 Best Practices Awards Program

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


Collaborating in a Secure Environment 

10:50 Chairperson's Remarks

Ravi K. Madduri, Fellow, Computation Institute, University of Chicago; Project Manager, Mathematics and Computer Science Division, Argonne National Laboratory

11:00 tranSMART – A Rapidly Evolving Community-Driven Open Source Platform for Translational Research

Michael Braxenthaler, Ph.D., Global Head, Strategic Alliances, F. Hoffmann-La Roche; VP, Industry Relations, tranSMART Foundation

One year after its inception, the tranSMART Foundation releases version 1.2 of the open source translational research platform tranSMART. Major new features across all key functional areas were contributed by many members of a vibrant community spanning academic, not-profit and commercial sectors. We present a success story for pre-competitive collaborative efforts.

11:30 Improving Multi-Organization Collaboration Using the Best the World Has to Offer

Andrew Porter, Director, IT Architecture, Merck

In today’s environment, successful life science organizations are looking outside their four walls to engage the best resources available. EngageZone is a collaboration platform powered by a secure cloud-based life sciences identity hub which allows companies across the industry to utilize a shared infrastructure to facilitate better collaboration while delivering improved usability, ease of deployment, security of intellectual property, and information accountability.

12:00 New Cloud-Based Workflows Power Global Life Science Innovation

Michelle Munson, President, CEO & Co-Founder, Aspera

Cloud-based tools for life sciences are driving innovation and enabling advancements like never before. High-speed transport technology was the first step in removing the inherent bottlenecks of cloud infrastructure. Now life sciences workflows have been transformed. High-speed transport and powerful, high-performance cloud computing sit behind a new generation of transport, analysis, transformation and sharing of big data.

SGI small logo12:40 Luncheon Presentation I: Bringing the Big Brain Computer to the Cloud: SGI UV for Cloud-Based Genomics Workflows
James Reaney, Director, Research Markets, SGI 
Building on years of experience with Cyclone™, SGI announces a new collaborative project to bring cloud-based computational resources to genomics workflows worldwide. SGI will showcase several of its computational and storage technologies in the project but chief among these is the SGI UV platform: the “Big Brain” supercomputing system which already powers several large genomics research facilities worldwide. A brief, high-level overview of the project and its collaborative approach will be given, along with a discussion of the initial goals and anticipated benefits for researchers.    

  

1:10 Luncheon Presentation II: Embrace the Inevitable: Six Imperatives to Prepare Your Company for Cloud Computing
Vadim Parizher, Senior Director of Enterprise Architecture, Allergan
In today’s digital economy, speed and agility are the keys to winning in business. This session outlines Allergan, Inc.’s (NYSE: AGN) journey from a traditional on-premise IT landscape into a Hybrid IT environment and the role Cloud computing has played in enabling a “second” speed delivery capability. This session will detail experiences, lessons learned, and required changes – including the requirements for identity management - as part of this evolution and share specific challenges in the Pharmaceutical industry.
  

 

Securing the Cloud for Healthcare 

1:50 Chairperson's Remarks

R. Mark Adams, Ph.D., CIO, Good Start Genetics

1:55 Riding the Cloud to Big Data Analytics in and for Healthcare

Nitesh Chawla, Ph.D., Associate Professor, Computer Science and Engineering, University of Notre Dame

Faced with unsustainable costs and huge amounts of under-utilized data, healthcare needs more efficient practices, research and tools to harness the full benefits of personal health and healthcare-related data. In this talk, I will present the foundations of work that takes a Big Data approach, leveraging cloud computing, towards population health management and personalized healthcare.

2:25 Bursting through to the Cloud – Migrating On-Premises High-Performance Computing to the Cloud in a Clinically Validated, HIPAA-Regulated Setting

R. Mark Adams, Ph.D., CIO, Good Start Genetics

High-performance computing is a critical component of the emerging clinical next-generation sequencing field. This talk addresses the processes involved with taking a custom-developed, in-house pipeline supporting a unique exon-capture NGS approach and acquiring/developing the necessary refinements, tools and processes to implement a clinically validated system in the cloud.

2:55 Gov't, Pharma, and BioTech Case Studies: Implementing Cloud for Computational Life Sciences
Jason Stowe, CEO and Founder, Cycle Computing
From HIPAA, to Genomics, and Drug Design, this session will review Science-on-Cloud implementations, and provide thoughts on future directions. Case studies will represent a variety of applications, and workload sizes from 128 cores, up to runs of more than 156,000 cores. Bring your questions about Cloud HPC, your thinking caps, and we'll review several real examples from the past year.
   

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

4:00 GenoSpace – Integrated Data Services for Genomic Medicine Delivery

Niall O'Connor, Head, Engineering, GenoSpace

Genomic data generation has become a commodity and the challenge of managing, analyzing and interpreting results for clinically actionable findings remains a growing problem. We present a secure cloud-based data architecture and service model that integrates vast, disparate knowledge collections. It empowers pathologists, clinicians and patients to harness precision medicine’s promise.

4:30 New Approaches around Security and Cloud-Based Orchestration of Genomic Workflows

Charles Schmitt, Ph.D., CTO, RENCI, University of North Carolina at Chapel Hill

Executing genomic workflows in the cloud allows convenience and financial savings over traditional approaches. But users must deal with issues of security and potentially complex workflow orchestration to take full advantage of cloud offerings. We present work from NSF- and NIH-funded projects that provide a cloud-based trust fabric to securely execute cloud-based genomic workflows.

5:00 Enabling Secure Global Genomic Data Exchanges

Stuart Young, Director, Bioinformatics, Annai Systems

Research and healthcare organizations are facing the challenge of finding and exchanging genomic information. Annai Systems provides a solution: Annai-GNOS, a Repository as a Service platform that provides secure access to conduct metadata searches and execute encrypted, accelerated downloads of genomic information. GNOS enables global genomic data exchanges of public and private partners to increase the use and value of genomic information.

5:15 Sponsored Presentation (Opportunity Available)

5:30 - 6:30 Best of Show Awards Reception in the Exhibit Hall


THURSDAY, MAY 1

7:00 am Registration Open

7:00 Breakfast Presentation (Sponsorship Opportunity Available) or Morning Coffee

8:00 Chairperson’s Opening Remarks

Kevin Davies, Ph.D., Vice President Business Development & Publisher C&EN, American Chemical Society; Founding Editor, Bio-IT World


8:05 PLENARY KEYNOTE SESSION 

Click here for detailed information. 


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


Ensuring Genomic Privacy and Security 

10:30 Chairperson’s Opening Remarks

Mary Ann Brown, Executive Director, Conferences, Cambridge Healthtech Institute


10:35 Featured Presentation

A Global Alliance for Interoperability of Genomic and Clinical Data

David Altshuler, M.D., Ph.D., Deputy Director and Chief Academic Officer, Broad Institute of Harvard and MIT; Professor, Genetics and Medicine, Harvard Medical School and Massachusetts General Hospital; Adjunct Professor, Biology, Massachusetts Institute of Technology

Analysis of large-scale data on genome sequence and clinical outcomes holds great promise for medicine. Learning requires access to datasets and to methods beyond the scope of any single institution. I will discuss a global alliance created to nurture a common framework of international standards for how genomic and clinical data are shared in a responsible and effective manner.


11:05 Featured Presentation

Incorporating Security Infrastructure from the Beginning at the New York Genome Center

Toby Bloom, Ph.D., Deputy Scientific Director, Informatics, New York Genome Center

As genomic data falls under more regulations governing personally identifiable information and more clinical genomics studies combine deep clinical data with genomic data, privacy and security requirements integrated into genome centers’ informatics infrastructures become increasingly complex. We discuss how NYGC is addressing these challenges.


11:35 Architecture of Omics-Aware Clinical Decision Support Systems

Ketan Patel, Principal Solutions Consultant, Oracle Health Sciences

While many EMR implementations include some form of configurable decision support, the demands of genome data – gene panels as well as whole-exome and whole-genome data – make molecular decision support in the EMR a significant challenge. We propose architectures for decision support systems external to but integrated with an EMR, along with analytical tools and scalability appropriate for genome-wide personalized medicine.

12:15 pm Luncheon Presentations (Sponsorship Opportunities Available) or Lunch on Your Own

1:15 Dessert Refreshment Break in the Exhibit Hall with Poster Viewing


Three Cs of Security: Confidentiality, Classification and Collaboration 

1:55 Chairperson's Remarks

Toby Bloom, Ph.D., Deputy Scientific Director, Informatics, New York Genome Center

2:00 Data and Intellectual Property Security in a Global Cyber Environment

Russ Brown, Supervisory Special Agent, Boston Division Criminal Cyber Squad, FBI

Data security is a very significant issue faced by businesses in today’s electronically connected environment. Data “owned” or controlled by a business, as well as applications developed by a business, are categorized as Intellectual Property. The security and protection of Intellectual Property is critical to conducting, maintaining and growing a secure business in the current global environment.

PodcastLogo

2:30 Information Classification: The Key to a Sane Security Strategy

William Telford, Director, R&D IS Security, Sanofi R&D

Understanding your information is key to your security success and enables collaboration. This talk will address the key topics to consider and challenges that must be overcome.

3:00 PANEL DISCUSSION: The Big Data Storage and Security Maze: Balancing Collaboration and Privacy

Moderator: Toby Bloom, Ph.D., Deputy Scientific Director, Informatics, New York Genome Center

Russ Brown, Supervisory Special Agent, Boston Division Criminal Cyber Squad, FBI

Yaniv Erlich, Ph.D., Principal Investigator and Whitehead Fellow, Whitehead Institute for Biomedical Research

Philip Groth, Ph.D., IT Business Partner, CoE Research, Bayer HealthCare Pharmaceuticals

John Sabey, President, Sabey Data Center Properties

William Telford, Director, R&D IS Security, Sanofi R&D

Big data has led to organizations turning to virtual networks for information storage and processing. Thus, unauthorized access to data and implementation of effective governance structures are growing concerns. To balance knowledge sharing and respect for confidentiality, researchers must consider how and where to store and secure data – plus what data and why. This panel gathers representatives from academia, pharma and IT to discuss these issues. Topics include:

  • How secure is your data?
  • When should you favor data sharing and when should you restrict data flow?
  • What data actually needs to be protected in the first place?
  • What security systems and practices are most appropriate for specific research needs?

4:00 Conference Adjourns

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  • Making the World's Knowledge Computable
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