OpenScience

Drug repositioning and pharmacology toolkit — context-aware similarity search.

Genomic Vector Database and DNA-matching framework built on open pipelines.

Molecular modeling and cheminformatics for small molecules, proteins, and complexes.

Physical analysis of biological sequences — from raw reads to variants to expression atlases.

Toxicology and safety assessment models for pre-clinical and regulatory workflows.

Our novel post-quantum cryptography framework.

Foundations and applied research in quantum algorithms for life-science workloads.

Scientific LLMs for literature, protocols, and structured knowledge extraction.

Perception systems for imaging, microscopy, and clinical modalities.

Efficient training and inference to reduce compute and carbon cost.

Theory-first work on the geometry of computation and physical models of information.

Responsible AI for science — safety, fairness, and governance across research pipelines.