Prospective students

Information for graduate students and research interns interested in joining SEAL.

How to apply

Prospective student application

Please complete the prospective student application form. It asks for your academic background, CV, transcripts, research interests, and a brief introduction.

Open application form

Due to the high volume of applications, we may not be able to respond to every applicant immediately.

Research areas

See publications

Systems for scalable AI

We build full-stack systems for scalable training, high-performance inference, and reliable deployment of foundation models across diverse computing environments.

Efficient foundation models

We study model architectures, compression, and long-context methods that reduce the cost of training and inference without sacrificing capability.

Reasoning and agents

We investigate efficient reasoning, planning, inference-time scaling, self-improvement, and tool use for agents operating over long horizons.