BRAID is a department dedicated to advancing biological and clinical sciences through artificial intelligence. Our core focus is on developing foundation models—general-purpose AI models trained on large-scale biological datasets—which we fine-tune for specialized applications. Our research spans multiple areas, with key focuses including:

• High-throughput perturbative screening for target identification and drug discovery, utilizing technologies such as cell painting, Perturb-seq, and optical pooled screens.
• Regulatory element design for gene and cell therapy applications.
• Integration of multi-modal biological data to improve target assessment.
• Inference of cellular communication using spatial transcriptomics and proteomics.
• Virtual screening of small molecules for phenotypic drug discovery.
• Foundational machine learning, focusing on fine-tuning foundation models, generative modeling, causal inference, explainability, and uncertainty quantification.