Track 14: Edge

Simply defined, edge can be considered where people and devices or things connect with the network. Compute-intensive edge applications, including Internet of Things (IOT), augmented reality (AR), and artificial intelligence (AI), interact with their environment based on ever-changing conditions. Where should this complex data be transferred, stored, and analyzed? During the Inaugural Edge track, data scientists share their real-world living-on-edge experiences of leveraging this shifting space to increasingly deliver on the promise of cloud and its growing complexity.

Final Agenda

Tuesday, April 16

7:00 am Workshop Registration Open and Morning Coffee

8:0011:30 Recommended Morning Pre-Conference Workshops*

W7. Blockchain 101

12:304:00 pm Recommended Afternoon Pre-Conference Workshops*

W11. Digital Data Strategy for the Lab

* Separate registration required.

2:006:30 Main Conference Registration Open


5:007:00 Welcome Reception in the Exhibit Hall with Poster Viewing

Wednesday, April 17

7:30 am Registration Open and Morning Coffee


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

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10:50 Chairperson’s Remarks

Jonathan Usuka, Senior Expert, Pharmaceuticals & Medical Products, McKinsey and Company


11:00 FEATURED PRESENTATION: Edge Intelligence: Edge Computing in the Intelligent Era

Weisong Shi, PhD, Charles H. Gershenson Distinguished Faculty Fellow, IEEE Fellow, Professor, Computer Science; Director, Mobile and Internet SysTems Laboratory (MIST); Director, Wireless Health Initiative (WHI), Wayne State University

The proliferation of Internet of Everything and success of rich cloud services have pushed a new computing paradigm, edge computing, which calls for processing data at the network’s edge. It can potentially address concerns of response time requirement, battery life constraint, bandwidth cost saving, and data safety and privacy. We discuss its vision and challenges, and how it and artificial intelligence will interact in 5-10 years.

11:30 Intelligence at the Edge: How the Internet of Things and HPC Connect in the Computing Continuum

Rajesh Sankaran, PhD, Computer Scientist, Mathematics and Computer Science Division, Argonne National Laboratory

The number of network-connected devices now substantially exceeds the number of humans on this planet. This presentation will explore the computing continuum, and how computing and intelligence at the edge is now firmly connected to supercomputing.

SuperMicroComputer 12:00 pm Accelerating Intelligent IoT Edge Computing by Workload Consolidation with Supermicro

Mory Lin, Senior Director, IoT/Embedded Products, Architecture Department, Super Micro Computer, Inc.

We understand the urgency of seeking answers for compute-intensive internet of Things (IoT) edge applications by using artificial intelligence (AI). We'll share our view on how we accelerated the transformation at the edge with high-performance computing in compact form factor.

12:30 Session Break

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Elsevier-square 12:40  Luncheon Presentation I: Productionising AI – Moving Beyond “Fire and Forget” to Predictable, Predictive Algorithms

Tim Miller, Vice President, Life Sciences Platform Solutions, Elsevier

Everybody is “doing AI” in Life Sciences right now, but how do we know we are doing it right?  Are we picking the best models for our problem? Are we getting the quality of data we need? And, are we able to translate successful AI experiments into productionised capabilities that integrate with our business goals? 

TataConsultancyServices 1:10 NEW: Luncheon Presentation II: Enabling Perpetual Digital Transformation in Research & Development

Vikram Karakoti, Head, Life Sciences Business Unit, North America, Tata Consultancy Services

Life Sciences companies today are inverting the pyramid by embedding enabling technologies in business platforms. “Enabling Perpetual Digital Transformation in R&D” explores how these digital platforms are re-constructed, and coupled with an “enterprise agile” R&D organization to yield exponential improvements in speed, capacity, cost, quality and improved outcomes in product research and clinical development; with real-life examples of just how the new paradigm is being embraced by leading Life Sciences companies. 

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1:50 Chairperson’s Remarks

Sandeep Kulshrestha, Director, Life Sciences, Tata Consultancy Services

1:55 Edge Computing for Augmented Reality in the Wild

Maria Gorlatova, PhD, Assistant Professor, Electrical and Computer Engineering, Duke University

Augmented reality, which places digital context in a physical environment surrounding a user, is one of the most demanding, arising mobile applications. This talk describes how we address the critical challenges of augmented reality with edge computing, focusing specifically on how we use edge to make augmented reality more adaptive and intelligent.

2:25 Personalized Digital Ecosystem: Surveilling Symptom Data from Wearables, Swallowables, Voice Applications, and the Internet of Medical Things (IoMT)

Amir Lahav, ScD, Rare Disease Research Unit, Pfizer

This new era of digital health ecosystem highlights the importance of integrating data coming from multiple sources, including mobiles apps, wearable intelligence, smart drug delivery devices, disease surveillance technology, and real-time analytics. This multi-dimensional data has the potential to leverage opportunities for a more efficient care experience, leading to better diagnosis, treatment, and prevention. What does it take to develop a successful digital ecosystem and can big pharma do it alone? 

2:55 The Internet of Healthy Things

Joseph C. Kvedar, MD, Vice President, Connected Health, Partners HealthCare; Professor, Harvard Medical School; Author, The Internet of Healthy Things℠

Learn how connected health technologies – such as smartphones, wearables and sensors -- are being integrated into our daily lives to promote wellness, better self-management of chronic conditions and to make healthier lifestyle choices. Connected health is making the health consumer experience more compelling and addictive; emerging technologies, including artificial intelligence (AI), voice recognition (VR) and virtual visits can personalize care and improve health and wellness.

3:25 Refreshment Break in the Exhibit Hall with Poster Viewing, Meet the Experts: Bio-IT World Editorial Team, and Book Signing with Joseph Kvedar, MD, Author, The Internet of Healthy Things℠ (Book will be available for purchase onsite)


4:00 How to Be “In the Flow”: Combining Business Process and Data Flows for End-to-End Automated Laboratory Workflows

Andreas Steinbacher, PhD, R&D Informatics and Machine Learning/Artificial Intelligence Leader for Lab Automation, Roche Innovation Center Munich

Currently the automation-level of end-to-end laboratory workflows in the life science research space is rather low. This results from a strong focus on automating single workflow steps with separated instruments/integrations, and on the other hand, from the need of flexible (re-)configuration of laboratory workflows in a research environment. Business process modelling and management tools are successfully applied in other industries and are also proposed as a solution for life science automation. However, typically they lack to track the corresponding data flow. This talk aims at identifying the essential requirements of an end-to-end laboratory workflow automation and how business process management tools can help to achieve this goal.

4:30 End-to-End Sample Tracking in the Laboratory Using a Custom Internet of Things Device

William Neil, Digital Capability Manager, Solution Engineering and Delivery, Bristol-Myers Squibb

We describe a custom Internet of Things (IoT) device used for tracking barcoded containers end to end in a high-throughput analysis and purification laboratory. Our IoT device fills an important gap that previously prevented us from fully tracking barcoded sample containers through manual steps in a multistep workflow. The custom device reads container barcodes and sends a small amount of data to our back-end data systems. Once data have been received and processed, users are alerted to any system responses via aural and visual feedback. We believe that the model for our device will facilitate simple and rapid deployment of IoT to the broader laboratory community.

Google_Cloud_New 5:00 Genomic Analyses on Google Cloud Platform

Andrew Moschetti, Solutions Architect, Healthcare & Life Sciences, Google Cloud

Using Google Cloud Platform and other open source tools such as GATK Best Practices and DeepVariant, learn how to perform end-to-end analysis of genomic data. Starting with raw files from a sequencer, progress through variant calling, importing to BigQuery, variant annotation, quality control, BigQuery analysis and visualization with phenotypic data. All the datasets will be publicly available and all the work done will be provided for participants to explore on their own. 

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

Thursday, April 18

7:30 am Registration Open and Morning Coffee


9:45 Coffee Break in the Exhibit Hall and Poster Competition Winners Announced

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10:30 Chairperson’s Remarks

Anantha Ramakrishnan, PhD, Big Data, Analytics, Information Management Lead Consultant - Healthcare & Insurance, Tata Consultancy Services

10:40 How Voice-Enabled Technology Could Change the Healthcare Industry

David Herzig, MSc, Senior Scientist, pRED Pharma Research and Early Development, F. Hoffmann-La Roche AG

Voice-enabled digital assistants already have a big impact: on our mobile phones, computers, smartwatches, cars, and even in our homes. This talk presents several use cases on how voice-enabled technology could improve and/or change several work areas within the healthcare industry.

11:10 NEW: IoT Buttons to Streamline Hospital Operations: Implementation Successes and Challenges

Mark Zhang, DO, MMSc, Medical Director, Digital Innovation Hub, Brigham and Women’s Hospital

IoT buttons can be configured to relay just-in-time information on key hospital operations. Additionally, because IoT buttons can have several command functions, they can be oriented to hospital staff or public visitors. We leveraged the IoT button to develop a restroom cleanliness notification system for our hospital. This session will discuss data security, early results and lessons learned in implementation challenges of IoT buttons in hospital systems.

11:40 Enjoy Lunch on Your Own (Lunch Available for Purchase in Exhibit Hall)

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


1:55 Chairperson’s Remarks

Chris Dwan, Senior Technologist and Independent Life Sciences Consultant

2:00 PANEL DISCUSSION: High Performance Consultancies


Chris Dwan, Senior Technologist and Independent Life Sciences Consultant


Tanya Cashorali, CEO, Founder, TCB Analytics

Aaron Gardner, Director of Technology, BioTeam, Inc.

Eleanor Howe, PhD, Founder and CEO, Diamond Age Data Science

An organization must learn and understand the value of why, when and how to use a consultancy. Highly trained and skilled professional experts gather to discuss their role in leading and managing projects for organizations to help them achieve goals. They will discuss a variety of themes including the best kinds of projects to hire a consultancy for, the timeline of when an organization should hire a consultant vs. full time staff, and big challenges on the horizon. The session will feature short podium presentations, followed by a moderated Q&A panel with attendees. The topic of hiring a consulting company came up in the data science plenary keynote at Bio-IT 2018. We want to spend time at Bio-IT 2019 exploring this topic in finer detail.

3:20 KEYNOTE PRESENTATION: Trends from the Trenches 2019

Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, BioTeam, Inc.

The “Trends from the Trenches” in its original “state of the state address” returns to Bio-IT! Since 2010, the “Trends from the Trenches” presentation, given by Chris Dagdigian, has been one of the most popular annual traditions on the Bio-IT Program. The intent of the talk is to deliver a candid (and occasionally blunt) assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences. The presentation has helped scientists, leadership, and IT professionals understand the basic topics related to computing, storage, data transfer, networks, and cloud that are involved in supporting data intensive science.

We are looking for your feedback on the key questions, problems, issues you are facing. We will incorporate the feedback into Chris’ talk. Complete this short survey anonymously:

4:00 Conference Adjourns

Exhibit Hall and Keynote Pass

Data Platforms and Storage Infrastructure