Research Areas

Multi-modal knowledge extraction from scientific literature, databases, and experimental data. Our Research model leverages structured and unstructured biological knowledge to surface insights that would take human researchers months to compile.

Thermodynamically-constrained cellular behavior modeling that respects fundamental biological principles. Our Dynamics model learns from diverse cellular data while enforcing physical plausibility for reliable predictions.

Multi-scale modeling from DNA to RNA to protein, capturing the full central dogma of molecular biology. Our Central Dogma model predicts how genetic sequences translate into functional proteins with quantified confidence.

Efficient navigation of combinatorial genetic design spaces using advanced optimization and generative methods. Our Perturbation model suggests minimal, high-impact edits to achieve desired phenotypes across multiple objectives.