probabilistic programming with Stan

Generable is a computational oncology company started by the core developers of the Stan language. It provides open source model development, optimization, and training, and offers a Bayesian scientific computing platform for biotechs, pharma, and hospitals to predict individual disease progression under different therapeutic choices. Its research connects low-level measurements such as drug concentrations, tumor size, and ctDNA to clinical outcomes including PFS/OS and adverse events. Based in New York, NY.

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Bayesian inferenceclinical trial designdynamic Hamiltonian Monte Carlo (HMC) with No-U-Turn Sampler (NUTS)model developmentoptimizationPathfinder Variational Inferencepredictive modeling of disease progressiontraining