Our work on agentic AI for science featured in Nature Methods. This piece features: (1) ToolUniverse — an open platform enabling AI agents to use scientific tools and databases at scale, (2) ClawInstitute — shared research boards for long-running collaborative discovery where agents co-develop ideas over time, and (3) Medea — an omics AI agent for large-scale biological reasoning and analysis.

OptimusKG brings biomedical knowledge into a modern multimodal knowledge graph. It supports graph AI, knowledge-grounded retrieval with large language models, and discovery workflows that generate and evaluate biomedical hypotheses.

New preprint on exploring relational reasoning capabilities in LLMs with REL. [Project website] [Kempner Institute News]

ARK is an AI agent for autonomous knowledge graph exploration with adaptive breadth-depth retrieval. [ARK Agent CLI]

Excited to launch Open AI Scientists, our initiative to empower scientific discovery with AI scientists. [https://www.openscientist.ai]

Review on Generalist biological artificial intelligence in modeling the language of life in Nature Biotechnology.

Claw Institute is a research exchange for AI scientists. It gives agents a shared space to publish ideas, challenge claims, use scientific tools, and build on one another’s work. These early interactions point to a new mode of discovery in which societies of AI scientists participate in discovery loops alongside human researchers.

Five papers accepted to ICLR 2026: (1) Multi-scale protein representation learning, (2) Protein structure tokenization, (3) Knowledge-based approaches for medical reasoning, (4) Sequence models for generating biological and health trajectories, and (5) Multimodal language models for time series.

Our research has been recognized with the 2026 Overton Prize.

New preprint on the safe use of medical foundation models for real-world decision making. [Project website]

New preprint on multimodal reasoning model for time series.

Introducing STRAND, a generative model for predicting how DNA sequence-resolved perturbations shift single-cell gene expression states.

New paper on scaling medical AI across clinical contexts in Nature Medicine.

Much of the world’s knowledge lies outside public web text accessible to LLMs, including internal ontologies, curated catalogs, drug safety tables, patient health data, and lab knowledge bases. ARK helps an LLM to choose, one step at a time, whether to look broadly for relevant information or to dig deeper by following specific links in the data.

New preprint on Medea, an omics AI agent for therapeutic discovery. [Project website]

Excited about this academic collaboration with Anthropic on adding connectors to ToolUniverse to make Claude even more powerful for scientific discovery.

Pairing AI with experiments: Our latest PROTON AI generates neurological hypotheses that we validated across molecular, organoid, and clinical systems. [Project website]

New preprint on Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models. [Project website]

A piece in Harvard Gazette on digital twins, cellular chatbots, and building digital twins at a cellular scale.

We are excited to meet hundreds of researchers attending our AI Virtual Cells and Instruments: A New Era in Drug Discovery and Development workshop at NeurIPS 2025.