Webinar: Data Ecosystems that Accelerate Scientific Research

BioTeam is pleased to announce the first in a series of webinars we will be bringing you with our partners at Bio-IT World.
Data Ecosystems that Accelerate Scientific Research
April 29, 2020 at 2:00pm EST
This webinar presents case studies on technologies, methodologies, and collaborations used to aggregate and harmonize data across an ecosystem to solve complex scientific problems and allow breakthrough discoveries to happen. Speakers will show novel approaches of key drivers and innovations implemented to address issues at the intersection of science and technology. Specific themes that will be covered include data protection and visibility, building data commons and data hygiene, and artificial intelligence and machine learning for life sciences and antibiotic discovery. Each speaker will give a presentation and at the end of the webinar there will be a moderated Q&A discussion.
Learning Objectives

  • Protect and visualize your files at the scale of life sciences, with integrated search, restore, and visibility
  • Learn the data management techniques, tools, platforms, and frameworks that are proven to be effective at solving complex problems at scale
  • Understand common misconceptions regarding machine and deep learning, where it has been successfully applied in biology, and tips for when and where it’s appropriate to use it
  • Learn how deep learning approaches have utility in expanding our antibiotic arsenal

Presentations and Speakers:
Data Visibility and Protection at the Scale of Life Sciences
Adam Marko, Scientific Solutions Lead, Engineering, Igneous
Building Data Ecosystems for Accelerated Scientific Discovery
Adam Kraut, Director of Marketing, BioTeam, Inc.
With the Power of AI Comes Great Responsibility
Fernanda Foertter, Senior Scientific Consultant for AI+HPC, The BioTeam, Inc.; former Global Alliance
A Deep Learning Approach to Antibiotic Discovery
Jonathan Stokes, PhD, Banting Fellow, Laboratory of James Collins, Broad Institute of MIT and Harvard

Click here to register for this event

We hope you can join us for the first in a series of free webinars. Please feel free to share with your colleagues that may be interested.

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