Sean L Wu
Mathematical epidemiologist, senior scientist at Merck.
Session
07-26
12:00
30min
DyVE, a Framework for Value Dynamics
J B, Otto Ritter, Sean L Wu
DyVE (Dynamics of Value Evolution) is an open source framework, aimed at designing, fitting, and integrating complex real-world process models; accounting for the accrual of costs and rewards; and supporting complex decision making, particularly in pharmaceutical R&D and business.
Process specifications are compact and algebraically composable. Uncertainty about model values or structure is supported. DyVE is interoperable with Scientific Machine Learning (SciML).
SciML
32-D463 (Star)