Research Scientist I
Annaliese Wieler joined the statistics group at Metrum in September 2023. Her PhD research at the University of Notre Dame focused on using mathematical models to interpret data from clinical trials of a novel intervention against mosquito-borne diseases. She also contributed to papers on COVID-19 forecasting and the release of intracellularly-infected mosquitoes to combat dengue.
December 6, 2024
Presented at ACoP 2024. A proof-of-concept was conducted using deep reinforcement learning to optimize vancomycin dosing based on predicted PK profiles. The reinforcement learner was able to produce dose recommendations that (on average) exceeded the standard-of-care recommended dose, and future opportunities for using reinforcement learning within pharmacometrics are vast with a large potential for impact through personalized dosing.