September 26-27, 2022
Seattle, WA
September 26-27, 2022
Seattle, WA
This session will focus on systems architectures for AI-driven laboratories, especially cloud labs. Topics will include:
Session Chair:
Christopher Langmead, Ph.D., (Amgen)
Langmead is the director of digital biologics discovery at Amgen, where his team develops AI/MLbased methods for designing proteins and algorithmic experimental design. Prior to joining Amgen, he was a tenured faculty member in Computer Science and Computational Biology at Carnegie Mellon University, where his research focused on generative modeling of proteins and scientific automation.
Speakers:
Toby Blackburn, M.B.A., (Emerald Cloud Lab)
Cloud Labs Provide the Infrastructure to Enable Deployment of AI/ML in Science at Scale
Blackburn serves as the head of business development and strategy at Emerald Cloud Lab (ECL), a physical laboratory that scientists can access remotely via the Internet allowing them to run, analyze and interpret experiments without setting foot in the lab. He obtained a B.S. in Chemical Engineering from North Carolina State University and holds an M.B.A. from Duke University’s Fuqua School of Business.
Leah McGuire, Ph.D. (Benchling)
Humans Helping Machines Help Humans Run Machines: Combining Automation and Domain Knowledge
to Enable Productized Modeling of the Growth of Biologics
McGuire is the tech lead for the automation and analytics teams at Benchling, working on integrating with laboratory equipment and providing tools to analyze the results of scientific experiments. Before joining Benchling, McGuire was a machine learning architect at Salesforce, building AutoML capabilities for Salesforce Einstein. She got her start in data science at LinkedIn, after completing a Ph.D. and a postdoctoral fellowship in computational neuroscience at the University of California, San Francisco and at the University of California, Berkeley, where she studied the neural encoding and integration of sensory signals.