Teams at Biohub

Lead AI safety research for biological models: design and run safety evaluations, build robust safeguards against misuse, monitor capability advances, partner with internal and external experts, and shape safety policy and communications.

Lead and coordinate multidisciplinary imaging science and technology programs, develop and execute project plans, manage technical dependencies, track metrics and progress, communicate with stakeholders, mitigate risks, and document outcomes and best practices to deliver complex AIxBio and imaging initiatives aligned with the strategic roadmap.

Design and evaluate imaging data representations and tokenization strategies for biological AI models. Coordinate across experimental, data science, engineering, and research teams to prioritize data acquisition, define quality criteria, and combine heterogeneous modalities into robust training frameworks that improve model performance and scientific interpretability.