Modern clinical research projects may include data from multiple modalities for a single patient, including genomic, clinical and imaging data. The challenge that organizations and researchers face is that these data types are often stored in different formats and locations, so bringing them together to perform analysis is a time-consuming task. In this webinar, the featured speakers will cover strategies to transform, manage and analyze research-ready multimodal data using a cloud-based data lake.
Join this webinar to learn more about multi-omics and multimodal data integration and analysis.
Speakers
Adam Kraut, Senior Director, Architecture, BioTeam
Adam is the Senior Director of Architecture and Marketing with 12+ years of experience as a Technical Consultant at BioTeam. He joined BioTeam in 2008, focusing on HPC, cloud, bioinformatics and scientific data management. Adam is passionate about high-performance systems, interdisciplinary teams, technical skill development and pioneering the use of advanced computing for science and engineering.
Message Presenter
Nick George, Scientific Consultant, BioTeam
Nick has a PhD in neuroscience with a background in microscopy and image analysis. At BioTeam, Nick focuses on cloud computing and scientific data management infrastructure on AWS. As a former researcher, Nick specializes in bridging the gap between available technologies and scientific needs to design efficient, researcher-ready solutions.
Message Presenter
Sujaya Srinivasan, Genomics Solutions Architect, Global Healthcare, Amazon Web Services
Sujaya Srinivasan is a Solutions Architect specializing in genomics and life sciences. She has a strong background in both technology and bioinformatics, and has over 15 years of experience working in software, precision oncology, clinical genomics and pharma. She is passionate about using technology to accelerate research and discovery in life sciences, genomics and precision medicine.
Message PresenterWho Should Attend?
- Data Engineers
- Data Stewards
- Data Scientists
- Bioinformatics Scientists
- Research Scientists
Plus, anyone leading data strategy in a life sciences organization
What You Will Learn
Attendees will learn:
- How to use AWS services to transform multimodal data into research-ready formats
- How to create cohorts from multimodal datasets using notebooks and dashboards
- How providing both graphical and code-based methods for interacting with data can maximize discovery and value by empowering diverse groups of analysts
- Why data lakes are a good solution for hosting multimodal datasets
Xtalks Partner
Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 84 Availability Zones (AZs) within 26 geographic regions, with announced plans for 24 more Availability Zones and eight more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
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