For over two decades, our Symsilico team members have been developing and utilizing a wide range of scientific, analytic, and technological approaches. Our team has deep expertise and experience in:

• Mathematical and computational modeling

  This includes developing a variety of models including decision analytic, Markov, compartment, systems dynamics, network, and agent-based models (ABMs) that can serve as "virtual laboratories" to test different possible policies, products and interventions.

• Systems Science

  This includes developing and utilizing state-of-the-art systems approaches and methods such as systems mapping and modeling to help decision makers better understand and address complex systems.

• Data Science

  This includes developing and utilizing various techniques to evaluate, analyze, and transform different types of data including Big Data.

• Health Economics

  This includes developing and utilizing a wide range of economic and resource models that can help determine the costs, cost-benefit, cost-effectiveness, and return-on-investment (ROI) of different options.

• Digital Health

  This includes working with a variety of information and communication technologies to address complex health issues.

• AI

  This includes developing and implementing different computational algorithms and models that can help make informed decisions in health.

• Operations Research

  This includes developing and utilizing a wide range of operations models that help evaluate the effectiveness and efficiency of a system and how to optimize it.