Teams at Biohub

Build and scale frontier AI systems for biology: design model architectures, run large-scale pretraining on GPU clusters, develop RL/reward modeling and multi-agent systems, create evaluation frameworks tied to biological outcomes, and publish/open-source research.

Develop and scale frontier AI systems for biology, including foundation models, pre-training pipelines, RL and multi-agent systems, evaluation frameworks, and community-facing publications and open-source releases to accelerate scientific discovery.

Design, build, and optimize custom light-sheet microscopes and imaging subsystems. Develop modular hardware control software (Python, occasional C/C++), integrate cameras, stages, lasers, and sensors, implement automated feedback-driven imaging protocols, and contribute to large-scale data acquisition, visualization, and documentation for reproducible experimental systems.