Prominent AI engineers share their latest work. We will explore the bounds of what is possible with AI and Earth data. Each researcher will share the elements that comprise their modern AI stack -- from managing data, measuring and communicating accuracy, scaling inference, and communicating results.
Speakers: Megan Hansen
Machine Learning Scientist at Impact Observatory
Megan Hansen is a Machine Learning Scientist at Impact Observatory, where she and her teammates are building AI-powered geospatial algorithms that provide governments, industries, and markets with insights they need to succeed. She enjoys exploring new ways to automate machine learning experiments and using remote sensing data to understand the challenges facing our planet. Before joining Impact Observatory, Megan was a Data Scientist at Maxar. When she isn’t training models, you’ll likely find her hanging out at a coffee shop or with her dog, Bowdie. She holds a MS in Hydrology and a BS in Geophysical Engineering from the Colorado School of Mines.