Sebastian Ament
I am a research scientist in the Adaptive Experimentation group at Meta, where I develop sample-efficient optimization methods with a focus on efficient AutoML for large machine learning models. Before joining Meta, I completed my PhD in computer science at Cornell University, working with Carla Gomes. My research interests include Bayesian optimization, sparse optimization, and active learning, with applications in materials science and beyond. My work at Meta has also involved leveraging Bayesian optimization to optimize the sustainability of the concrete mixes used in Meta's data centers, reducing the environmental impact while increasing strength and stability.
When I am not penciling Greek letters or hunting down missing minus signs in code, I enjoy cycling, dancing tango, and playing the piano. Hear me play a tango that I transcribed herePublications
See Google Scholar for an up-to-date list of publications.Contact
- LinkedIn: linkedin.com/in/amentsebastian
- GitHub: github.com/SebastianAment