Scale for data science innovation across the healthcare value chain

Learn how data science leaders from Lilly, McKesson, and NVIDIA foster enterprise-wide data science adoption.
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Can data science increase the likelihood and velocity of scientific discoveries making it into clinical practice?

Digital healthcare data and machine learning at scale has brought unprecedented change in the healthcare and life sciences sector, with data and predictive models driving a new focus on innovation across the value chain.

In this panel discussion moderated by Thomas Robinson, VP of Strategic Partnerships & Initiatives at Domino Data Lab, you’ll learn from healthcare leaders like Andrea de Souza, Global Head of Data Sciences & Engineering at Eli Lilly, Susan Hoang, VP Oncology Intelligence Analytics at McKesson, and Rima Alameddine, VP of Sales for Healthcare and Manufacturing at NVIDIA, as they discuss:

  1. The journeys they’ve taken in deploying data science at scale, from organizational strategy to infrastructure/tooling.
  2. Best practices across people, process, and technology for MLOps at enterprise scale.
  3. Sourcing, managing, and up-skilling data science talent.

Andrea de Souza

GLOBAL HEAD OF DATA SCIENCES & ENGINEERING, ELI LILLY
Andrea is the global head of data sciences and engineering at Eli Lilly. A thought leader and senior executive in the bio-pharmaceutical field for over two decades, Andrea has led high-performing teams focused on a variety of areas including drug discovery, development, manufacture, and commercialization.

Susan Hoang

VICE PRESIDENT OF ONCOLOGY ANALYTICS, MCKESSON
Susan's the “Head Data Whisperer” for Oncology Intelligence Analytics at McKesson, leveraging big data and advanced analytics for data-driven decision-making around strategic programs for the largest network of community oncologists in the United States. A proven leader in building and developing high-performing teams, she practices design thinking and continuous innovation.

Rima Alameddine

VP, ENTERPRISE SALES, HCLS & MANUFACTURING, NVIDIA
Rima is NVIDIA’s VP of sales for health care, life sciences, and manufacturing in the Americas. Her teams help customers drive innovation, transformation, and growth by leveraging AI, data science, and advanced analytics. Rima brings a wealth of diverse experiences and perspectives, having worked in AI, analytics, networking, collaboration, and information technologies.

Thomas Robinson

VP, STRATEGIC PARTNERSHIPS AND CORP DEV, DOMINO DATA LAB
Thomas Robinson is VP of strategic partnerships and corporate development at Domino, where he's responsible for building Domino's partner ecosystem, developing offerings providing differentiated value to partners. He previously acted as Domino's chief people officer, responsible for building an organization to unleash data science to address the world's most important challenges.
On-demand webinar

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Scaling MLOps in Healthcare

Scaling MLOps in Healthcare

You’ll hear directly from experts on how healthcare and companies have scaled data science, so you don’t have to learn the hard way.

Managing Data Science Talent

Managing Data Science Talent

Learn how data science leaders approach managing and developing data science expertise - from talent sourcing to organizational structure.