Data Engineer, Acceleration Consortium

Geneva Neal

About

Geneva Neal is a Data Engineer at the Acceleration Consortium, where she builds and maintains data pipelines that support research operations and data-driven work across the organization. She studied mathematics and statistics at McMaster University and previously developed data pipelines and analytics workflows at the Creative Destruction Lab. She’s motivated by building systematic, trustworthy data foundations that help accelerate scientific discovery.

Affiliated SDLs
SDL0: AI and automation

Summary:

A research hub to develop AI tools and robotic lab automation hardware for self-driving labs at the AC

members:

Jason Hein, Alán Aspuru-Guzik

institution:

University of Toronto

TOPIC:

View SDL
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