About

Who We Are

Cultured out of Baltimore Underground Science Space, Common Ground – Synthesis of Biology focuses on two objectives: Systems Biology outreach, and refinement of ground truth through Logic-based methods, Math Modeling, and Machine Learning Innovation Challenges.

What We Do

Our approach entails hosting Innovation Challenges focused on simulations merging Logic-based methods with traditional Math Modeling techniques and Machine Learning. System identification, multi-scale integration, data-driven discovery, knowledge refinement, model scoring, and applicable formal verification & validation methods are a few important features we focus on.

How We Do It

Accomplishing these goals takes collaboration with both new and prominent entities in the Systems Biology Ecosystem. Successful collaboration and progress requires an alignment of our objectives with those of other value providers in the space. With networks of problem-solvers, open access to datasets by multi-omics data providers, strategic partnerships with organizations, etc., the burden to remain sustainable is dispersed and makes for a more robust network.