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: Lilly Thomas
Machine Learning Engineer at Development Seed • She/Her
Lilly is a machine learning engineer at Development Seed. She has expertise in applying deep learning techniques to Earth Observation (EO) imagery. Her primary motivation lies in developing computer vision models that generate insights to support the achievement of the Sustainable Development Goals. She has a particular interest in the intersection of machine learning (ML) and oceanographic science.
Prior to joining Development Seed, Lilly worked as a Data Scientist in multiple organizations with a focus on the use of EO imagery with ML. In all roles, she worked with heterogeneous data formats and built models that were deployed and scaled in cloud-based pipelines.
Based in LA, you can find Lilly surfing, hiking or practicing yoga - she is a certified yoga teacher - outside of work. Lilly received her bachelors from UCLA.